diff --git a/README.md b/README.md index 4d4a5e96..db518d72 100644 --- a/README.md +++ b/README.md @@ -1,90 +1,68 @@ Ironhack Logo -# Welcome to your Final Project! +# Sentiment Analysis on Brexit +*Ana Horta* + +*Data Analytics at Ironhack Bootcamp, Lisbon, January 2020* ## Content - [Project Description](#project-description) -- [Project Goals](#project-goals) -- [Requirements](#requirements) -- [Deliverables](#deliverables) -- [To Do List](#todolist) -- [Presentation](#presentation) -- [Tips & Tricks](#tips-&-tricks) - - +- [Hypotheses / Questions](#hypotheses-questions) +- [Dataset](#dataset) +- [Cleaning](#cleaning) +- [Analysis](#analysis) +- [Model Training and Evaluation](#model-training-and-evaluation) +- [Conclusion](#conclusion) +- [Future Work](#future-work) +- [Workflow](#workflow) +- [Organization](#organization) +- [Links](#links) ## Project Description -In this project, you will pick a topic of your choosing and perform an end-to-end analysis using what you have learned. You will apply the statistical and machine learning techniques we have learned over the last few weeks and present your results to all of us. - - - -## Project Goals -* Ask interesting and thoughful questions and find the data to answer them. -* Try to find multiple source for your data to make a more complete analysis. -* Focus on improving in areas that are hard for you or learning more about something with which you feel comfortable. -* Apply the statistical and machine learning techniques we have learned. -* Create useful and clear graphs. -* Present your insights in a thoughtful, clear and accurate way. - - - -## Requirements -* You must plan your project. That is why creating a Trello Board is mandatory. -* You **CAN'T CODE** until you project is planned. -* This is an individual project. -* It is strongly suggested that you have a rigorous analysis. - - - -## Deliverables -* A well-commented notebook with your analysis (Jupyter or Kaggle). -* A 5 minute presentation in the classroom (+2 minutes of questions). -* Repository with your workflow + documentation + code. Even if you are working alone, you need to keep good practices! -* The database where you have kept your data. - - - -## Schedule -*Wednesday - Thursday* -* Think about a topic and propose some questions. -* Choose data that is relevant to your questions. -* Look for documentation to give context to your project. -* Write the README file in your repository. -* Get approval for your project -* **DO NOT START CODING** - -**NO CODE UNTIL HERE** - -*Friday - Wednesday* -* Start importing the data and cleaning it. -* Start the analysis. Remember all the techniques you have learned! -* Prepare a draft of your first slides presentation (no analysis or conclusions yet): title, motivation, context, ... It is good practice to add the results of your analysis as soon as you obtain them. - -*Thursday* -* Rehearsal. Take the feedback and use it! -* Finish the analysis. Finish the slides. -* Final improvements! - -*Friday* -* Presentation! - - - -## Presentation -* 5 minutes presentation in the classroom (+2 minutes of questions). - - - - -## Tips & Tricks -* Keep It Simple!!!! -* Organize yourself (don't get lost!). Respect deadlines. -* Ask for help vs Google is your friend. -* Define a simple approach first. You never know how the data can betray you 😉. -* Document yourself. Learn about the problem and what research has been done before you. -* Before making a graph, think what you want to represent. -* Don't force yourself to use tecniques if they are not helpful for your objective. -* If using machine learning, remember: - * This is an iterative process. Try your best to improve your model performance by: - * Try different models and select one that is the simplest yet produce the best result. - * Try different hyperparameters and see if they improve the result. +Sentiment Analysis on Tweets relating to Brexit throughout the year 2019. Identifying if there were more positive tweets refering to Theresa May or Boris Johnson and whether people became more accepting of Brexit throughout the year. + +## Hypotheses / Questions +* Which prime minister made people more accepting of the prospect of the UK leaving the European Union? + +## Dataset +Built my own dataset from extracting tweets with GetOldTweets3 Library. All tweets refer to Brexit. + +## Cleaning +I first dropped columns which were not relevant for my analysis and then dropped any remaining rows with null values and duplicate entries. I changed the date column type from object to datetime format and then removed all non-english tweets. I also stop checked top users with most frequent tweets and removed this from my dataset as the majority looked like fake & news accounts and did not add any meaningful value to my analysis. Adittionally, all accounts with 'brexit' in the name which displayed troll behaviour were also removed. + +I then proceeded to check which tweets referred to Theresa May and Boris Johnson and added this information to a new column named 'PM'. I removed all tweets that did not mention either of the PM's as this was not meaningful to my analysis on what people were saying about the PM's within the context of Brexit. My new shape is 30,143 rows. + +## Analysis +* Overview the general steps you went through to analyze your data in order to test your hypothesis. +* Document each step of your data exploration and analysis. +* Include charts to demonstrate the effect of your work. +* If you used Machine Learning in your final project, describe your feature selection process. + +## Model Training and Evaluation +*Include this section only if you chose to include ML in your project.* +* Describe how you trained your model, the results you obtained, and how you evaluated those results. + +## Conclusion +* Summarize your results. What do they mean? +* What can you say about your hypotheses? +* Interpret your findings in terms of the questions you try to answer. + +## Future Work +Address any questions you were unable to answer, or any next steps or future extensions to your project. + +## Workflow +Outline the workflow you used in your project. What were the steps? +How did you test the accuracy of your analysis and/or machine learning algorithm? + +## Organization +How did you organize your work? Did you use any tools like a trello or kanban board? + +What does your repository look like? Explain your folder and file structure. + +## Links +Include links to your repository, slides and trello/kanban board. Feel free to include any other links associated with your project. + + +[Repository](https://github.com/) +[Slides](https://slides.com/) +[Trello](https://trello.com/en) diff --git a/your-project/BREXIT Sentiment Analysis Pres.pdf b/your-project/BREXIT Sentiment Analysis Pres.pdf new file mode 100644 index 00000000..15ab9382 Binary files /dev/null and b/your-project/BREXIT Sentiment Analysis Pres.pdf differ diff --git a/your-project/Data Cleaning.ipynb b/your-project/Data Cleaning.ipynb new file mode 100644 index 00000000..a079f004 --- /dev/null +++ b/your-project/Data Cleaning.ipynb @@ -0,0 +1,1015 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "code", + "execution_count": 233, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import glob\n", + "import os\n", + "\n", + "from nltk.corpus import stopwords\n", + "from nltk.tokenize import word_tokenize\n", + "from nltk.stem import PorterStemmer \n", + "from nltk.stem import WordNetLemmatizer \n", + "from nltk.probability import FreqDist\n", + "import nltk\n", + "\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.cluster import KMeans\n", + "from sklearn.metrics import silhouette_score\n", + "from sklearn import preprocessing\n", + "\n", + "from datetime import datetime\n", + "import re" + ] + }, + { + "cell_type": "code", + "execution_count": 234, + "metadata": {}, + "outputs": [], + "source": [ + "pd.set_option('max_colwidth', 800)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "metadata": {}, + "outputs": [], + "source": [ + "def clean_up(tweet):\n", + " tweet = re.sub('((www\\.[^\\s]+)|(https?://[^\\s]+))','',tweet.lower())\n", + " tweet = re.sub('[\\s]+', ' ', tweet) \n", + " tweet = re.sub(r'\\W*\\b\\w{1,3}\\b', '', tweet)\n", + " tweet = re.sub('[^A-Za-z0-9]+', ' ', tweet) \n", + " return tweet\n", + "\n", + "def tokenize(tweet):\n", + " return word_tokenize(tweet)\n", + "\n", + "def stem_and_lemmatize(tweet):\n", + " tweet = ' '.join(tweet)\n", + " stem = PorterStemmer().stem(tweet)\n", + " return WordNetLemmatizer().lemmatize(stem)\n", + "\n", + "def remove_stopwords(tweet):\n", + " stop_words = set(stopwords.words('english')) \n", + " return [i for i in tweet.split() if i not in stop_words]\n", + "\n", + "#function to detect language based on # of stop words for particular language\n", + "stopwords_dict = {lang: set(nltk.corpus.stopwords.words(lang)) for lang in nltk.corpus.stopwords.fileids()}\n", + "def get_language(text):\n", + " words = set(nltk.wordpunct_tokenize(text.lower()))\n", + " lang = max(((lang, len(words & stopwords)) for lang, stopwords in stopwords_dict.items()), key = lambda x: x[1])[0]\n", + " return True if lang == 'english'else False\n", + " \n", + "def get_pm(row):\n", + " pms = []\n", + " text = row[\"TEXT\"].lower()\n", + " if \"boris\" in text or \"johnson\" in text:\n", + " pms.append(\"Boris Johnson\")\n", + " elif \"theresa\" in text:\n", + " pms.append(\"Theresa May\")\n", + " else:\n", + " pms.append(\"none\") \n", + " return \",\".join(pms)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/ironhack/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:9: FutureWarning: Sorting because non-concatenation axis is not aligned. A future version\n", + "of pandas will change to not sort by default.\n", + "\n", + "To accept the future behavior, pass 'sort=False'.\n", + "\n", + "To retain the current behavior and silence the warning, pass 'sort=True'.\n", + "\n", + " if __name__ == '__main__':\n" + ] + } + ], + "source": [ + "path = r'/Users/ironhack/Documents/GitHub/IronHack/W9FinalProject/final-project/your-project/tweets/2019'\n", + "all_files = glob.glob(os.path.join(path, \"*.csv\"))\n", + "list_of_files = []\n", + "\n", + "for filename in all_files:\n", + " df = pd.read_csv(filename, index_col=None, header=0)\n", + " list_of_files.append(df)\n", + "\n", + "df = pd.concat(list_of_files, axis=0, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 237, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 383269 entries, 0 to 383268\n", + "Data columns (total 16 columns):\n", + "author_id 380000 non-null float64\n", + "date 383269 non-null object\n", + "favorites 380000 non-null float64\n", + "formatted_date 380000 non-null object\n", + "geo 0 non-null float64\n", + "hashtags 93174 non-null object\n", + "id 383269 non-null int64\n", + "mentions 49660 non-null object\n", + "permalink 380000 non-null object\n", + "pm 3269 non-null object\n", + "replies 380000 non-null float64\n", + "retweets 380000 non-null float64\n", + "text 382645 non-null object\n", + "to 235693 non-null object\n", + "urls 117328 non-null object\n", + "username 383269 non-null object\n", + "dtypes: float64(5), int64(1), object(10)\n", + "memory usage: 46.8+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 238, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "author_id 0.852926\n", + "date 0.000000\n", + "favorites 0.852926\n", + "formatted_date 0.852926\n", + "geo 100.000000\n", + "hashtags 75.689659\n", + "id 0.000000\n", + "mentions 87.043043\n", + "permalink 0.852926\n", + "pm 99.147074\n", + "replies 0.852926\n", + "retweets 0.852926\n", + "text 0.162810\n", + "to 38.504549\n", + "urls 69.387558\n", + "username 0.000000\n", + "dtype: float64" + ] + }, + "execution_count": 238, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()*100/len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 239, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['author_id', 'date', 'favorites', 'formatted_date', 'geo', 'hashtags',\n", + " 'id', 'mentions', 'permalink', 'pm', 'replies', 'retweets', 'text',\n", + " 'to', 'urls', 'username'],\n", + " dtype='object')" + ] + }, + "execution_count": 239, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 240, + "metadata": {}, + "outputs": [], + "source": [ + "df = df[['date','id', 'username', 'text']]\n", + "df.columns = map(str.upper, df.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 241, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(383269, 4)" + ] + }, + "execution_count": 241, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 242, + "metadata": {}, + "outputs": [], + "source": [ + "df.dropna(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 243, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "DATE object\n", + "ID int64\n", + "USERNAME object\n", + "TEXT object\n", + "dtype: object" + ] + }, + "execution_count": 243, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#check types\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 244, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DATEIDUSERNAMETEXT
300002019-03-12 23:59:59+00:001105619479478845441El_7ussenyطب سريعاً كدا فيه غفلة من رجال الأمن أحب أتكلم شويه عن الـBrexit اللي هو انفصال المملكة المتحدة UK عن الاتحاد الأوروبي في ثريد صغير
300012019-03-12 23:59:59+00:001105619476047953928michael_b28@heuteshow ist das eigentlich richtig, dass der simulierte Angriff auf den EU Luftraum gestern Abend durch TUIfly mit #737MAX8 eine Aktionskunst zur Verhinderung des #Brexit war?
300022019-03-12 23:59:57+00:001105619470641446912repnewsListen to this. What is Britain's \"fundamental interest\" in Ireland? If they answer that first, then they can figure out the border, then they can figure out Brexit.
300032019-03-12 23:59:54+00:001105619456565395458Lusa_noticiasPortugal prepara-se para cenário do 'Brexit' sem acordo que é “hoje mais possível” - MNE - https://www.lusa.pt/article/25807673
300042019-03-12 23:59:54+00:001105619455739158529themarketsniperParliament’s rejection of Mrs. May’s deal shifts the focus to a vote scheduled for Wednesday on whether to oppose leaving without a deal - WATCH TOMORROW'S BETRAYAL OF REAL BREXIT, AS MAJORITY VOTE AGAINST NO DEAL EXIT. 99% CERTAIN OF IT. @TheResetSniper @DollarVigilante
...............
3068112019-09-13 21:52:15+00:001172629085387968513ittatto23This absolute gobshite has a nerve since he’s the very one who’s responsible for all this #Brexit shite in the first place, then he pissed off when it all went wrong & let other politicians in Parliament like #TheresaMay to deal with it all! #DavidCameron
3069762019-09-13 21:47:57+00:001172628003987345408DarrylInnesyour fantasy Brexit was lost the moment that Theresa May called a snap election and ended up with a minority government. Bercow has just given the majority of opposition a voice as he is supposed to do and as the election mandated.
3078142019-09-13 21:28:25+00:001172623090922196999sundersaysDavid Cameron and Theresa May, for somewhat different reasons, are in an especially lonely place in a politics polarised by Brexit. Distrusted as \"Remainers\" by Leave advocates, but probably more unpopular still with Remainers
3080942019-09-13 21:21:49+00:001172621430196002817femiokesI see your argument. But would rather he resign if he felt he can't can it through. What wrong with a bit of honesty? #TheresaMay took over promising to deliver but could not have done more to mess up #brexit instead!
3081632019-09-13 21:20:17+00:001172621041543200768Mouette291Les #européistes sont \"sur les dents\" et prêt à tout pour faire capoter le #BREXIT Dernière supercherie en date, le soit disant rapport sur l'opération #Yellowhammer ou #ProjetdelaPeur Un rapport commandée en janvier dernier par #TheresaMay aux fins d'affoler la population. #UPR
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" + ], + "text/plain": [ + " DATE ID USERNAME \\\n", + "30000 2019-03-12 23:59:59+00:00 1105619479478845441 El_7usseny \n", + "30001 2019-03-12 23:59:59+00:00 1105619476047953928 michael_b28 \n", + "30002 2019-03-12 23:59:57+00:00 1105619470641446912 repnews \n", + "30003 2019-03-12 23:59:54+00:00 1105619456565395458 Lusa_noticias \n", + "30004 2019-03-12 23:59:54+00:00 1105619455739158529 themarketsniper \n", + "... ... ... ... \n", + "306811 2019-09-13 21:52:15+00:00 1172629085387968513 ittatto23 \n", + "306976 2019-09-13 21:47:57+00:00 1172628003987345408 DarrylInnes \n", + "307814 2019-09-13 21:28:25+00:00 1172623090922196999 sundersays \n", + "308094 2019-09-13 21:21:49+00:00 1172621430196002817 femiokes \n", + "308163 2019-09-13 21:20:17+00:00 1172621041543200768 Mouette291 \n", + "\n", + " TEXT \n", + "30000 طب سريعاً كدا فيه غفلة من رجال الأمن أحب أتكلم شويه عن الـBrexit اللي هو انفصال المملكة المتحدة UK عن الاتحاد الأوروبي في ثريد صغير \n", + "30001 @heuteshow ist das eigentlich richtig, dass der simulierte Angriff auf den EU Luftraum gestern Abend durch TUIfly mit #737MAX8 eine Aktionskunst zur Verhinderung des #Brexit war? \n", + "30002 Listen to this. What is Britain's \"fundamental interest\" in Ireland? If they answer that first, then they can figure out the border, then they can figure out Brexit. \n", + "30003 Portugal prepara-se para cenário do 'Brexit' sem acordo que é “hoje mais possível” - MNE - https://www.lusa.pt/article/25807673 \n", + "30004 Parliament’s rejection of Mrs. May’s deal shifts the focus to a vote scheduled for Wednesday on whether to oppose leaving without a deal - WATCH TOMORROW'S BETRAYAL OF REAL BREXIT, AS MAJORITY VOTE AGAINST NO DEAL EXIT. 99% CERTAIN OF IT. @TheResetSniper @DollarVigilante \n", + "... ... \n", + "306811 This absolute gobshite has a nerve since he’s the very one who’s responsible for all this #Brexit shite in the first place, then he pissed off when it all went wrong & let other politicians in Parliament like #TheresaMay to deal with it all! #DavidCameron \n", + "306976 your fantasy Brexit was lost the moment that Theresa May called a snap election and ended up with a minority government. Bercow has just given the majority of opposition a voice as he is supposed to do and as the election mandated. \n", + "307814 David Cameron and Theresa May, for somewhat different reasons, are in an especially lonely place in a politics polarised by Brexit. Distrusted as \"Remainers\" by Leave advocates, but probably more unpopular still with Remainers \n", + "308094 I see your argument. But would rather he resign if he felt he can't can it through. What wrong with a bit of honesty? #TheresaMay took over promising to deliver but could not have done more to mess up #brexit instead! \n", + "308163 Les #européistes sont \"sur les dents\" et prêt à tout pour faire capoter le #BREXIT Dernière supercherie en date, le soit disant rapport sur l'opération #Yellowhammer ou #ProjetdelaPeur Un rapport commandée en janvier dernier par #TheresaMay aux fins d'affoler la population. #UPR \n", + "\n", + "[14952 rows x 4 columns]" + ] + }, + "execution_count": 244, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#check for duplicates in the tweet ID column\n", + "df[df.duplicated(subset = 'ID')]" + ] + }, + { + "cell_type": "code", + "execution_count": 245, + "metadata": {}, + "outputs": [], + "source": [ + "#removing duplicates\n", + "df.drop_duplicates(subset='ID', keep=\"first\", inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 246, + "metadata": {}, + "outputs": [], + "source": [ + "#now that there are no duplicates, so we can drop the column\n", + "df.drop('ID', inplace=True, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 247, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(367693, 3)" + ] + }, + "execution_count": 247, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking totalrows\n", + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Fixing time type column" + ] + }, + { + "cell_type": "code", + "execution_count": 248, + "metadata": {}, + "outputs": [], + "source": [ + "#from the date only the month is important to analyse the change throughout the year\n", + "df['DATE'] = pd.to_datetime(df['DATE'])\n", + "df['MONTH_INT'] = pd.DatetimeIndex(df['DATE']).month\n", + "df['MONTH_STR'] = df['DATE'].dt.strftime('%b')\n", + "df.drop('DATE', inplace=True, axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Removing non english tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 249, + "metadata": {}, + "outputs": [], + "source": [ + "df['language'] = df['TEXT'].apply(get_language)\n", + "df = df[(df['language'] == True)]\n", + "df.drop('language', inplace=True, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 250, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(329937, 4)" + ] + }, + "execution_count": 250, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Creating column for Theresa May/Boris Jonhson - selecting tweets that only refer the PMs" + ] + }, + { + "cell_type": "code", + "execution_count": 251, + "metadata": {}, + "outputs": [], + "source": [ + "df[\"PM\"] = df.apply(get_pm,axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 252, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 282333\n", + "Boris Johnson 33555\n", + "Theresa May 14049\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 252, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PM'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Adjusting dataset so we have a more balanced number of tweets between May&Boris" + ] + }, + { + "cell_type": "code", + "execution_count": 253, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 0.855718\n", + "Boris Johnson 0.101701\n", + "Theresa May 0.042581\n", + "Name: PM, dtype: float64" + ] + }, + "execution_count": 253, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PM'].value_counts()/len(df)" + ] + }, + { + "cell_type": "code", + "execution_count": 254, + "metadata": {}, + "outputs": [], + "source": [ + "#removing 5% of Boris tweets\n", + "cdf = df.drop(df[df['PM'] == 'Boris Johnson'].sample(frac=.5).index)" + ] + }, + { + "cell_type": "code", + "execution_count": 255, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 282333\n", + "Boris Johnson 16777\n", + "Theresa May 14049\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 255, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf['PM'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 256, + "metadata": {}, + "outputs": [], + "source": [ + "df_may = df[df['PM'] == 'Theresa May']\n", + "df_boris = df[df['PM'] == 'Boris Johnson']\n", + "df_none = df[df['PM'] == 'none']\n", + "df_mb = df_may.append(df_boris)" + ] + }, + { + "cell_type": "code", + "execution_count": 257, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Boris Johnson 33555\n", + "Theresa May 14049\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_mb['PM'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 258, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "USERNAME object\n", + "TEXT object\n", + "MONTH_INT int64\n", + "MONTH_STR object\n", + "PM object\n", + "dtype: object" + ] + }, + "execution_count": 258, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_mb.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Dataset with the \"None\" group and the group that mentions May & Boris" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Remove user accounts that are mostly likely related to news and trolls" + ] + }, + { + "cell_type": "code", + "execution_count": 259, + "metadata": {}, + "outputs": [], + "source": [ + "#find twitter accounts with brexit in the name, these are to be removed\n", + "brexit_usernames = cdf[cdf['USERNAME'].str.contains('brexit|Brexit')]" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "metadata": {}, + "outputs": [], + "source": [ + "cond = cdf['USERNAME'].isin(brexit_usernames['USERNAME'])\n", + "#cond.value_counts()\n", + "cdf.drop(cdf[cond].index, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 261, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(306916, 5)" + ] + }, + "execution_count": 261, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 262, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " index USERNAME\n", + "0 AtlantoCeltica 619\n", + "1 dddoc_blogger 288\n", + "2 Doozy_45 259\n", + "3 BBCPropaganda 243\n", + "4 JeanneBartram 199" + ] + }, + "execution_count": 262, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''checking top users with most frequent tweets, these look like bots/trolls/news and do not add any meaningful value \n", + "to the analysis so they will be removed'''\n", + "usernames_to_remove = cdf['USERNAME'].value_counts().sort_values(ascending=False).nlargest(5)\n", + "frame = usernames_to_remove.to_frame().reset_index()\n", + "frame" + ] + }, + { + "cell_type": "code", + "execution_count": 263, + "metadata": {}, + "outputs": [], + "source": [ + "cond1 = cdf['USERNAME'].isin(frame['index'])\n", + "#cond.value_counts()\n", + "cdf.drop(cdf[cond1].index, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 264, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(305308, 5)" + ] + }, + "execution_count": 264, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 275161\n", + "Boris Johnson 16412\n", + "Theresa May 13735\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 265, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf['PM'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 266, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 0.833980\n", + "Boris Johnson 0.049743\n", + "Theresa May 0.041629\n", + "Name: PM, dtype: float64" + ] + }, + "execution_count": 266, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf['PM'].value_counts()/len(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Cleaning the tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "metadata": {}, + "outputs": [], + "source": [ + "cdf['TWEET_PROCESSED'] = cdf['TEXT'].apply(clean_up).apply(tokenize).apply(stem_and_lemmatize).apply(remove_stopwords)\n", + "cdf['TWEET_CLEANED'] = [' '.join(map(str, l)) for l in cdf['TWEET_PROCESSED']]" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "USERNAME object\n", + "TEXT object\n", + "MONTH_INT int64\n", + "MONTH_STR object\n", + "PM object\n", + "TWEET_PROCESSED object\n", + "TWEET_CLEANED object\n", + "dtype: object" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#df_mb = df_mb[['MONTH_INT', 'MONTH_STR','USERNAME','TEXT','TWEET_PROCESSED','TWEET_CLEANED','PM']]\n", + "#df_may = df_may[['MONTH_INT','MONTH_STR','USERNAME','TEXT','TWEET_PROCESSED','TWEET_CLEANED','PM']]\n", + "#df_boris = df_boris[['MONTH_INT','MONTH_STR','USERNAME','TEXT','TWEET_PROCESSED','TWEET_CLEANED','PM']]\n", + "cdf = cdf[['MONTH_INT','MONTH_STR','USERNAME','TEXT','TWEET_PROCESSED','TWEET_CLEANED','PM']]" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "metadata": {}, + "outputs": [], + "source": [ + "cdf.to_csv('cdf1.csv',index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-project/LDA.ipynb b/your-project/LDA.ipynb new file mode 100644 index 00000000..6ed77da7 --- /dev/null +++ b/your-project/LDA.ipynb @@ -0,0 +1,1087 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## TOPIC ANALYSIS" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://www.machinelearningplus.com/nlp/topic-modeling-visualization-how-to-present-results-lda-models/\n", + " \n", + "https://towardsdatascience.com/evaluate-topic-model-in-python-latent-dirichlet-allocation-lda-7d57484bb5d0 " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from wordcloud import WordCloud, STOPWORDS\n", + "\n", + "import pandas as pd\n", + "\n", + "from pprint import pprint\n", + "\n", + "import gensim\n", + "from gensim import models\n", + "import gensim.corpora as corpora\n", + "from gensim.utils import simple_preprocess\n", + "from gensim.models import CoherenceModel\n", + "from nltk.corpus import stopwords\n", + "from nltk import corpus\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "import seaborn as sns\n", + "import spacy\n", + "\n", + "import pyLDAvis\n", + "import pyLDAvis.gensim \n", + "\n", + "from nltk.stem import PorterStemmer " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def remove_stopwords(texts):\n", + " stop_words = stopwords.words('english')\n", + " stop_words += ['from', 'subject', 're', 'edu', 'use','user', 'com', 'co', 'con', 'be', 'else', 'http', 'would','send', \n", + " 'do', 'try', 'tell', 'go', 'get', 'can', 'think', 'know', 'give', 'ask', \n", + " 'next', 'find', 're']\n", + " return [[word for word in simple_preprocess(str(doc)) if word.strip() not in stop_words] for doc in texts]\n", + "\n", + "def make_bigrams(texts):\n", + " return [bigram_mod[doc] for doc in texts]\n", + "\n", + "def make_trigrams(texts):\n", + " return [trigram_mod[bigram_mod[doc]] for doc in texts]\n", + "\n", + "def lemmatization(texts, allowed_postags=['NOUN', 'ADJ', 'VERB', 'ADV']):\n", + " \"\"\"https://spacy.io/api/annotation\"\"\"\n", + " texts_out = []\n", + " for sent in texts:\n", + " doc = nlp(\" \".join(sent)) \n", + " \n", + " texts_out.append([token.lemma_ for token in doc if token.pos_ in allowed_postags])\n", + " return texts_out\n", + "\n", + "def stem_and_lemmatize(tweet):\n", + " tweet = ' '.join(tweet)\n", + " stem = PorterStemmer().stem(tweet)\n", + " return WordNetLemmatizer().lemmatize(stem)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Getting the dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "cdf = pd.read_csv('cdf.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "none 0.901269\n", + "Boris Johnson 0.053743\n", + "Theresa May 0.044988\n", + "Name: PM, dtype: float64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf['PM'].value_counts()/len(cdf)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(305304, 7)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "#reducing dataset from 300k to 30k (removing tweets that do not refer to either Boris or Theresa May)\n", + "df = cdf.drop(cdf[(cdf.PM == 'none')].index)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(30143, 7)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "#dropping nan values\n", + "df.dropna(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Boris Johnson 16407\n", + "Theresa May 13735\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PM'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "#Dropping duplicates\n", + "df.drop_duplicates(subset='TEXT', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MONTH_INTMONTH_STRUSERNAMETEXTTWEET_PROCESSEDTWEET_CLEANEDPM
77JulMacetrainNicola Sturgeon tells Boris Johnson: Brexit of...['nicola', 'sturgeon', 'tells', 'boris', 'john...nicola sturgeon tells boris johnson brexit off...Boris Johnson
97JulDerekJa09788684If we ever get brexit.and Boris is looking mor...['ever', 'brexit', 'boris', 'looking', 'dodgy'...ever brexit boris looking dodgy continental qu...Boris Johnson
127JuljohnleremainerMedia have finally realised that Brexit will b...['media', 'finally', 'realised', 'brexit', 'di...media finally realised brexit disaster johnson...Boris Johnson
227JulEndoxa66@BorisJohnson this better be a joke or else yo...['borisjohnson', 'better', 'joke', 'else', 'to...borisjohnson better joke else tories toast bre...Boris Johnson
247JulKamalJoshi108\"Turbo-charge\" Brexit plans, with \"all necessa...['turbo', 'charge', 'brexit', 'plans', 'necess...turbo charge brexit plans necessary funding pr...Boris Johnson
........................
3051732FebguardianThe Guardian view on Boris Johnson in court: B...['guardian', 'view', 'boris', 'johnson', 'cour...guardian view boris johnson court brexit editoriBoris Johnson
3051742FebCol_BogeyJohnson is Trump's poodle -- a weak, unpatriot...['johnson', 'trump', 'poodle', 'weak', 'unpatr...johnson trump poodle weak unpatriotic irritati...Boris Johnson
3051792FebPoetintheWoodsPoet in the Woods: The Voice of Many? https://...['poet', 'woods', 'voice', 'many', 'brexit', '...poet woods voice many brexit boris muddling co...Boris Johnson
3052132FebcpseedI don't need to learn anything about Brexit, I...['need', 'learn', 'anything', 'brexit', 'fully...need learn anything brexit fully understand tr...Boris Johnson
3052222FebTheTrut27638359BBC News - Brexit: EU Parliament makes tough d...['news', 'brexit', 'parliament', 'makes', 'tou...news brexit parliament makes tough demands tal...Boris Johnson
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" + ], + "text/plain": [ + " MONTH_INT MONTH_STR USERNAME \\\n", + "7 7 Jul Macetrain \n", + "9 7 Jul DerekJa09788684 \n", + "12 7 Jul johnleremainer \n", + "22 7 Jul Endoxa66 \n", + "24 7 Jul KamalJoshi108 \n", + "... ... ... ... \n", + "305173 2 Feb guardian \n", + "305174 2 Feb Col_Bogey \n", + "305179 2 Feb PoetintheWoods \n", + "305213 2 Feb cpseed \n", + "305222 2 Feb TheTrut27638359 \n", + "\n", + " TEXT \\\n", + "7 Nicola Sturgeon tells Boris Johnson: Brexit of... \n", + "9 If we ever get brexit.and Boris is looking mor... \n", + "12 Media have finally realised that Brexit will b... \n", + "22 @BorisJohnson this better be a joke or else yo... \n", + "24 \"Turbo-charge\" Brexit plans, with \"all necessa... \n", + "... ... \n", + "305173 The Guardian view on Boris Johnson in court: B... \n", + "305174 Johnson is Trump's poodle -- a weak, unpatriot... \n", + "305179 Poet in the Woods: The Voice of Many? https://... \n", + "305213 I don't need to learn anything about Brexit, I... \n", + "305222 BBC News - Brexit: EU Parliament makes tough d... \n", + "\n", + " TWEET_PROCESSED \\\n", + "7 ['nicola', 'sturgeon', 'tells', 'boris', 'john... \n", + "9 ['ever', 'brexit', 'boris', 'looking', 'dodgy'... \n", + "12 ['media', 'finally', 'realised', 'brexit', 'di... \n", + "22 ['borisjohnson', 'better', 'joke', 'else', 'to... \n", + "24 ['turbo', 'charge', 'brexit', 'plans', 'necess... \n", + "... ... \n", + "305173 ['guardian', 'view', 'boris', 'johnson', 'cour... \n", + "305174 ['johnson', 'trump', 'poodle', 'weak', 'unpatr... \n", + "305179 ['poet', 'woods', 'voice', 'many', 'brexit', '... \n", + "305213 ['need', 'learn', 'anything', 'brexit', 'fully... \n", + "305222 ['news', 'brexit', 'parliament', 'makes', 'tou... \n", + "\n", + " TWEET_CLEANED PM \n", + "7 nicola sturgeon tells boris johnson brexit off... Boris Johnson \n", + "9 ever brexit boris looking dodgy continental qu... Boris Johnson \n", + "12 media finally realised brexit disaster johnson... Boris Johnson \n", + "22 borisjohnson better joke else tories toast bre... Boris Johnson \n", + "24 turbo charge brexit plans necessary funding pr... Boris Johnson \n", + "... ... ... \n", + "305173 guardian view boris johnson court brexit editori Boris Johnson \n", + "305174 johnson trump poodle weak unpatriotic irritati... Boris Johnson \n", + "305179 poet woods voice many brexit boris muddling co... Boris Johnson \n", + "305213 need learn anything brexit fully understand tr... Boris Johnson \n", + "305222 news brexit parliament makes tough demands tal... Boris Johnson \n", + "\n", + "[28166 rows x 7 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Splitting the dataset by months" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# groupby your key and freq\n", + "g = df.groupby(pd.Grouper(key='MONTH_INT'))\n", + "# groups to a list of dataframes with list comprehension\n", + "dfss = [group for _,group in g]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "months = df.MONTH_INT.unique()\n", + "monthsdict = {elem : pd.DataFrame() for elem in months}\n", + "for key in monthsdict.keys():\n", + " monthsdict[key] = df[:][df.MONTH_INT == key]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_names = ['df_jan', 'df_feb', 'df_march', 'df_april', 'df_may', 'df_june', 'df_july', 'df_aug', 'df_sep',\n", + " 'df_oct', 'df_nov', 'df_dec'] #a list of all the dataframes you want to create\n", + "for name in df:\n", + " monthsdict[name] = df(name)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "df_jan = df[(df.MONTH_STR == 'Jan')]\n", + "df_fev = df[(df.MONTH_STR == 'Fev')]\n", + "df_march = df[(df.MONTH_STR == 'Mar')]\n", + "df_april = df[(df.MONTH_STR == 'Apr')]\n", + "df_may = df[(df.MONTH_STR == 'May')]\n", + "df_june = df[(df.MONTH_STR == 'Jun')] \n", + "df_july = df[(df.MONTH_STR == 'Jul')]\n", + "df_aug = df[(df.MONTH_STR == 'Aug')] \n", + "df_sep = df[(df.MONTH_STR == 'Sep')] \n", + "df_oct = df[(df.MONTH_STR == 'Oct')] \n", + "df_nov = df[(df.MONTH_STR == 'Nov')] \n", + "df_dec = df[(df.MONTH_STR == 'Dec')]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "df_march = pd.concat([df_jan,df_fev,df_march,df_april])\n", + "df_june = pd.concat([df_may,df_june,df_july, df_aug])\n", + "df_sep = pd.concat([df_sep,df_oct,df_nov, df_dec])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Apr 3604\n", + "Dec 3149\n", + "Oct 3052\n", + "Mar 2964\n", + "Jan 2741\n", + "Nov 2415\n", + "Sep 2115\n", + "Jul 2031\n", + "Feb 1879\n", + "Jun 1555\n", + "Aug 1479\n", + "May 1182\n", + "Name: MONTH_STR, dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.MONTH_STR.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "#transforming the series into lists for text processing\n", + "df_march = df_march['TWEET_CLEANED'].tolist()\n", + "df_july = df_july['TWEET_CLEANED'].tolist()\n", + "df_nov = df_nov['TWEET_CLEANED'].tolist()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preparing the text" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### January - April Tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "#creating bigrams and trigrams\n", + "bigram = gensim.models.Phrases(df_march, min_count=5, threshold=100) # higher threshold fewer phrases.\n", + "bigram_mod = gensim.models.phrases.Phraser(bigram)\n", + "trigram = gensim.models.Phrases(bigram[df_march], threshold=100)\n", + "trigram_mod = gensim.models.phrases.Phraser(trigram)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "#remove Stop Words\n", + "data_words_nostops = remove_stopwords(df_march)\n", + "#creating bigrams\n", + "data_words_bigrams = make_bigrams(data_words_nostops)\n", + "#Initialize spacy 'en' model, keeping only tagger component (for efficiency)\n", + "nlp = spacy.load('en', disable=['parser', 'ner'])\n", + "# Do lemmatization keeping only noun, adj, vb, adv\n", + "data_lemmatized_m = lemmatization(data_words_bigrams, allowed_postags=['NOUN', 'ADJ', 'VERB'])" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['upholding', 'rule', 'crime', 'laughable', 'brexitshamble']\n" + ] + } + ], + "source": [ + "print(data_lemmatized_m[:1][0][:30])" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "# Create Dictionary\n", + "id2word_m = corpora.Dictionary(data_lemmatized_m)\n", + "id2word_m.filter_extremes(no_below=10, no_above=0.2) #excluding tokens that ocurred in less than 10 tweets and bigrams that occurred in more than 50% of the tweets\n", + "# Rebuild corpus based on the dictionary\n", + "texts_m = data_lemmatized_m\n", + "# Term Document Frequency\n", + "corpus_m = [id2word_m.doc2bow(text) for text in texts_m]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### May - August Tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "#creating bigrams and trigrams\n", + "bigram = gensim.models.Phrases(df_july, min_count=5, threshold=100) # higher threshold fewer phrases.\n", + "bigram_mod = gensim.models.phrases.Phraser(bigram)\n", + "trigram = gensim.models.Phrases(bigram[df_july], threshold=100)\n", + "trigram_mod = gensim.models.phrases.Phraser(trigram)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "#remove Stop Words\n", + "data_words_nostops = remove_stopwords(df_july)\n", + "#creating bigrams\n", + "data_words_bigrams = make_bigrams(data_words_nostops)\n", + "#Initialize spacy 'en' model, keeping only tagger component (for efficiency)\n", + "nlp = spacy.load('en', disable=['parser', 'ner'])\n", + "# Do lemmatization keeping only noun, adj, vb, adv\n", + "data_lemmatized_j = lemmatization(data_words_bigrams, allowed_postags=['NOUN','ADJ', 'VERB', 'ADV'])" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['offer']\n" + ] + } + ], + "source": [ + "print(data_lemmatized_j[:1][0][:30])" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "# Create Dictionary\n", + "id2word_j = corpora.Dictionary(data_lemmatized_j)\n", + "id2word_j.filter_extremes(no_below=10, no_above=0.2) #excluding tokens that ocurred in less than 10 tweets and bigrams that occurred in more than 50% of the tweets\n", + "# Rebuild corpus based on the dictionary\n", + "texts_j = data_lemmatized_j\n", + "# Term Document Frequency\n", + "corpus_j = [id2word_j.doc2bow(text) for text in texts_j]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### September - December Tweets" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "#creating bigrams and trigrams\n", + "bigram = gensim.models.Phrases(df_nov, min_count=5, threshold=100) # higher threshold fewer phrases.\n", + "bigram_mod = gensim.models.phrases.Phraser(bigram)\n", + "trigram = gensim.models.Phrases(bigram[df_nov], threshold=100)\n", + "trigram_mod = gensim.models.phrases.Phraser(trigram)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "#remove Stop Words\n", + "data_words_nostops = remove_stopwords(df_nov)\n", + "#creating bigrams\n", + "data_words_bigrams = make_bigrams(data_words_nostops)\n", + "#Initialize spacy 'en' model, keeping only tagger component (for efficiency)\n", + "nlp = spacy.load('en', disable=['parser', 'ner'])\n", + "# Do lemmatization keeping only noun, adj, vb, adv\n", + "data_lemmatized_n = lemmatization(data_words_bigrams, allowed_postags=['NOUN', 'VERB', 'ADJ'])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['check', 'remainer', 'nee', 'hold', 'nose', 'good', 'judgement', 'stop', 'get', 'majority', 'ensure', 'deal', 'brexit', 'good', 'site', 'compare', 'tactical', 'voting', 'sit']\n" + ] + } + ], + "source": [ + "print(data_lemmatized_n[:1][0][:30])" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "# Create Dictionary\n", + "id2word_n = corpora.Dictionary(data_lemmatized_n)\n", + "id2word_n.filter_extremes(no_below=10, no_above=0.2) #excluding tokens that ocurred in less than 10 tweets and bigrams that occurred in more than 50% of the tweets\n", + "# Rebuild corpus based on the dictionary\n", + "texts_n = data_lemmatized_n\n", + "# Term Document Frequency\n", + "corpus_n = [id2word_n.doc2bow(text) for text in texts_n]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Using TF-IDF - not using\n", + "\n", + "A problem with this approach is that highly frequent words start to dominate in the document, but may not be representative to the model as less-frequent words. One way to fix this is to measure how unique (or how infrequent) a word is across all documents (or tweets), which is called the “inverse document frequency” or IDF. By introducing IDF, frequent words that are also frequent across all documents get penalized with less weight.\n", + "\n", + "https://towardsdatascience.com/topic-modeling-of-2019-hr-tech-conference-twitter-d16cf75895b6" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#tfidf = models.TfidfModel(corpus_m)\n", + "#tfidf_corpus_m = tfidf[corpus_m]\n", + "\n", + "#tfidf = models.TfidfModel(corpus_j)\n", + "#tfidf_corpus_j = tfidf[corpus_j]\n", + "\n", + "#tfidf = models.TfidfModel(corpus_n)\n", + "#tfidf_corpus_n = tfidf[corpus_n]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Topic Modeling Via LDA" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Jan - April" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "lda_model_m = gensim.models.ldamodel.LdaModel(corpus=corpus_m,\n", + " id2word=id2word_m,\n", + " num_topics=4, \n", + " random_state=100,\n", + " update_every=1,\n", + " chunksize=100,\n", + " passes=200,\n", + " alpha='auto',\n", + " per_word_topics=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Topic: 0 \n", + "Words: talk|good|british|agree|look|right|last|work|sign|open|keep|word|promise|destroy|agreement|control|well|feel|hold|part\n", + "Topic: 1 \n", + "Words: vote|conservative|tory|party|remain|could|election|polling|government|face|claim|come|today|delay|call|thank|voter|parliament|fail|break\n", + "Topic: 2 \n", + "Words: brexit|say|leave|labour|deliver|country|stop|trade|change|thing|force|stay|bad|show|month|political|letter|news|poor|become\n", + "Topic: 3 \n", + "Words: deal|people|make|time|support|leader|need|must|lie|happen|lose|referendum|plan|turn|democracy|resign|jeremycorbyn|public|new|woman\n" + ] + } + ], + "source": [ + "for idx, topic in lda_model_m.show_topics(formatted=False, num_words= 20):\n", + " print('Topic: {} \\nWords: {}'.format(idx, '|'.join([w[0] for w in topic])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### May - August" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "lda_model_j = gensim.models.ldamodel.LdaModel(corpus=corpus_j,\n", + " id2word=id2word_j,\n", + " num_topics=4, \n", + " random_state=100,\n", + " update_every=1,\n", + " chunksize=100,\n", + " passes=200,\n", + " alpha='auto',\n", + " per_word_topics=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Topic: 0 \n", + "Words: stop|become|leader|political|much|today|point|warn|great|push\n", + "Topic: 1 \n", + "Words: leave|borisjohnson|remain|happen|theresa|well|plan|must|support|really\n", + "Topic: 2 \n", + "Words: deal|brexit|vote|tory|say|party|make|people|even|country\n", + "Topic: 3 \n", + "Words: deliver|election|conservative|call|good|fail|right|promise|hard|thing\n" + ] + } + ], + "source": [ + "for idx, topic in lda_model_j.show_topics(formatted=False, num_words= 10):\n", + " print('Topic: {} \\nWords: {}'.format(idx, '|'.join([w[0] for w in topic])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### September - December" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "lda_model_n = gensim.models.ldamodel.LdaModel(corpus=corpus_n,\n", + " id2word=id2word_n,\n", + " num_topics=4, \n", + " random_state=100,\n", + " update_every=1,\n", + " chunksize=100,\n", + " passes=200,\n", + " alpha='auto',\n", + " per_word_topics=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Topic: 0 \n", + "Words: agree|plan|policy|option|split|become|risk|seem|great|face|back|today|enough|turn|table|fall|clear|block|live|feel|accept|part|idea|ditch|fool|different|truth|big|side|explain\n", + "Topic: 1 \n", + "Words: need|seat|majority|lose|work|government|candidate|win|real|debate|pact|choose|power|let|move|problem|fight|form|remember|leaver|blame|break|clean|generalelection|company|serious|beat|fake|hand|possible\n", + "Topic: 2 \n", + "Words: remain|keep|forget|chance|country|remainer|look|must|full|brexiteer|well|position|force|public|fail|thank|wrong|report|parti|increase|dem|bori|surrender|bring|politic|russian|put|corrupt|police|one\n", + "Topic: 3 \n", + "Words: deal|vote|tory|brexit|party|leave|people|election|stop|say|farage|labour|conservative|make|deliver|happen|good|could|lie|time|campaign|come|borisjohnson|stand|voter|trade|support|parliament|thing|read\n" + ] + } + ], + "source": [ + "for idx, topic in lda_model_n.show_topics(formatted=False, num_words= 20):\n", + " print('Topic: {} \\nWords: {}'.format(idx, '|'.join([w[0] for w in topic])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Checking Coherence Score" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coherence Score: 0.4009366399074937\n" + ] + } + ], + "source": [ + "# Compute Coherence Score\n", + "coherence_model_lda = CoherenceModel(model=lda_model_n, texts=data_lemmatized_n, dictionary=id2word_n, coherence='c_v')\n", + "coherence_lda = coherence_model_lda.get_coherence()\n", + "print('\\nCoherence Score: ', coherence_lda)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "https://www.kdnuggets.com/2018/04/robust-word2vec-models-gensim.html" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Visualisation of the Topics" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "
\n", + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lda_data = pyLDAvis.gensim.prepare(lda_model_n, corpus_n, id2word_n, mds='mmds')\n", + "pyLDAvis.display(lda_data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#with nlkt sentiment analysys\n", + "sid = SentimentIntensityAnalyzer()\n", + "\n", + "df_march['SENTIMENT_CP'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['compound'])\n", + "df_march['SENTIMENT_NEUT'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['neu'])\n", + "cdf['SENTIMENT_NEG'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['neg'])\n", + "cdf['SENTIMENT_POS'] = cdf['TWEET_CLEANED'].apply(lambda x:sid.polarity_scores(x)['pos'])\n", + "\n", + "cdf.loc[cdf.SENTIMENT_CP > 0,'SENTIMENT'] = 'positive'\n", + "cdf.loc[cdf.SENTIMENT_CP == 0,'SENTIMENT'] = 'neutral'\n", + "cdf.loc[cdf.SENTIMENT_CP < 0,'SENTIMENT'] = 'negative'" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-project/README.md b/your-project/README.md index 9563cd70..033a110b 100644 --- a/your-project/README.md +++ b/your-project/README.md @@ -1,9 +1,9 @@ Ironhack Logo # Title of My Project -*[Your Name]* +*Ana Horta* -*[Your Cohort, Campus & Date]* +*Data Analytics at Ironhack Bootcmap, Lisbon, January 2020* ## Content - [Project Description](#project-description) @@ -19,22 +19,18 @@ - [Links](#links) ## Project Description -Write a short description of your project: 3-5 sentences about what your project is about, why you chose this topic (if relevant), and what you are trying to show. +Sentiment Analysis on Tweets relating to Brexit throughout the year 2019. Identifying if there were more positive tweets refering to Theresa May or Boris Johnson and whether people became more accepting of Brexit throughout the year. ## Hypotheses / Questions -* What data/business/research/personal question you would like to answer? -* What is the context for the question and the possible scientific or business application? -* What are the hypotheses you would like to test in order to answer your question? -Frame your hypothesis with statistical/data languages (i.e. define Null and Alternative Hypothesis). You can use formulas if you want but that is not required. +* Which prime minister made people more accepting of the prospect of the UK leaving the European Union? ## Dataset -* Where did you get your data? If you downloaded a dataset (either public or private), describe where you downloaded it and include the command to load the dataset. -* Did you build your own datset? If so, did you use an API or a web scraper? PRovide the relevant scripts in your repo. -* For all types of datasets, provide a description of the size, complexity, and data types included in your dataset, as well as a schema of the tables if necessary. -* If the question cannot be answered with the available data, why not? What data would you need to answer it better? +Built my own dataset from extracting tweets with GetOldTweets3 Library. All tweets refer to Brexit. ## Cleaning -Describe your full process of data wrangling and cleaning. Document why you chose to fill missing values, extract outliers, or create the variables you did as well as your reasoning behind the process. +I first dropped columns which were not relevant for my analysis and then dropped any remaining rows with null values and duplicate entries. I changed the date column type from object to datetime format and then removed all non-english tweets. I also stop checked top users with most frequent tweets and removed this from my dataset as the majority looked like fake & news accounts and did not add any meaningful value to my analysis. Adittionally, all accounts with 'brexit' in the name which displayed troll behaviour were also removed. + +I then proceeded to check which tweets referred to Theresa May and Boris Johnson and added this information to a new column named 'PM'. I removed all tweets that did not mention either of the PM's as this was not meaningful to my analysis on what people were saying about the PM's within the context of Brexit. My new shape is 30,143 rows. ## Analysis * Overview the general steps you went through to analyze your data in order to test your hypothesis. diff --git a/your-project/Sentiment Analysis.ipynb b/your-project/Sentiment Analysis.ipynb new file mode 100644 index 00000000..a0675273 --- /dev/null +++ b/your-project/Sentiment Analysis.ipynb @@ -0,0 +1,712 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline\n", + "\n", + "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n", + "from nltk.probability import FreqDist\n", + "import nltk\n", + "\n", + "from sklearn.feature_extraction.text import CountVectorizer\n", + "from sklearn.feature_extraction.text import TfidfVectorizer\n", + "from sklearn.cluster import KMeans\n", + "\n", + "from datetime import datetime\n", + "from wordcloud import WordCloud" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "pd.set_option('max_colwidth', 800)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "cdf = pd.read_csv('cdf.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "cdf = cdf.drop(cdf[(cdf.PM == 'none')].index)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Checking top words" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "words = [w for w in cdf['TWEET_PROCESSED']]\n", + "pos_count = FreqDist(words)\n", + "freq = pos_count.most_common(50)\n", + "df_freq = pd.DataFrame(freq, columns=['WORD', 'FREQ'])\n", + "df_freq.head(50)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "cdf.dropna(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Boris Johnson 16407\n", + "Theresa May 13735\n", + "Name: PM, dtype: int64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf['PM'].value_counts()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Sentiment Analysys with nlkt vader" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "#with nlkt sentiment analysys\n", + "sid = SentimentIntensityAnalyzer()\n", + "\n", + "cdf['SENTIMENT_CP'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['compound'])\n", + "cdf['SENTIMENT_NEUT'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['neu'])\n", + "cdf['SENTIMENT_NEG'] = cdf['TWEET_CLEANED'].apply(lambda x: sid.polarity_scores(x)['neg'])\n", + "cdf['SENTIMENT_POS'] = cdf['TWEET_CLEANED'].apply(lambda x:sid.polarity_scores(x)['pos'])\n", + "\n", + "cdf.loc[cdf.SENTIMENT_CP > 0,'SENTIMENT'] = 'positive'\n", + "cdf.loc[cdf.SENTIMENT_CP == 0,'SENTIMENT'] = 'neutral'\n", + "cdf.loc[cdf.SENTIMENT_CP < 0,'SENTIMENT'] = 'negative'" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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MONTH_INTMONTH_STRUSERNAMETEXTTWEET_PROCESSEDTWEET_CLEANEDPMSENTIMENT_CPSENTIMENT_NEUTSENTIMENT_NEGSENTIMENT_POSSENTIMENT
77JulMacetrainNicola Sturgeon tells Boris Johnson: Brexit offers 'no democracy' for Scotland['nicola', 'sturgeon', 'tells', 'boris', 'johnson', 'brexit', 'offers', 'democracy', 'scotland']nicola sturgeon tells boris johnson brexit offers democracy scotlandBoris Johnson0.00001.0000.0000.000neutral
97JulDerekJa09788684If we ever get brexit.and Boris is looking more dodgy by the day. Will my continental quilt still work ?????['ever', 'brexit', 'boris', 'looking', 'dodgy', 'continental', 'quilt', 'still', 'work']ever brexit boris looking dodgy continental quilt still workBoris Johnson-0.22630.8080.1920.000negative
127JuljohnleremainerMedia have finally realised that Brexit will be a disaster and that Johnson is a con-artist. It's all over.['media', 'finally', 'realised', 'brexit', 'disaster', 'johnson', 'artist', 'ov']media finally realised brexit disaster johnson artist ovBoris Johnson-0.62490.6310.3690.000negative
227JulEndoxa66@BorisJohnson this better be a joke or else you and the Tories are toast! #Brexit Boris hints UK may stay in single market and customs union until 2021 https://mol.im/a/7303103 via http://dailym.ai/android['borisjohnson', 'better', 'joke', 'else', 'tories', 'toast', 'brexit', 'boris', 'hints', 'stay', 'single', 'market', 'customs', 'union', '2021']borisjohnson better joke else tories toast brexit boris hints stay single market customs union 2021Boris Johnson0.62490.7180.0000.282positive
247JulKamalJoshi108\"Turbo-charge\" Brexit plans, with \"all necessary funding\": UK Prime Minister Boris Johnson https://www.ndtv.com/world-news/boris-johnson-on-brexit-turbo-charge-brexit-plans-with-all-necessary-funding-2077768 #News #KJ #KamalJoshi #Trending['turbo', 'charge', 'brexit', 'plans', 'necessary', 'funding', 'prime', 'minister', 'boris', 'johnson', 'news', 'kamaljoshi', 'trend']turbo charge brexit plans necessary funding prime minister boris johnson news kamaljoshi trendBoris Johnson0.00001.0000.0000.000neutral
.......................................
3051732FebguardianThe Guardian view on Boris Johnson in court: Brexit’s war on the law | Editorial https://www.theguardian.com/commentisfree/2020/feb/12/the-guardian-view-on-boris-johnson-in-court-brexits-war-on-the-law?utm_term=Autofeed&amp;CMP=twt_gu&amp;utm_medium=&amp;utm_source=Twitter#Echobox=1581534232['guardian', 'view', 'boris', 'johnson', 'court', 'brexit', 'editori']guardian view boris johnson court brexit editoriBoris Johnson0.00001.0000.0000.000neutral
3051742FebCol_BogeyJohnson is Trump's poodle -- a weak, unpatriotic and irritating one at that -- Brexit has demeaned and weakened us ...['johnson', 'trump', 'poodle', 'weak', 'unpatriotic', 'irritating', 'brexit', 'demeaned', 'weaken']johnson trump poodle weak unpatriotic irritating brexit demeaned weakenBoris Johnson-0.82710.4080.5920.000negative
3051792FebPoetintheWoodsPoet in the Woods: The Voice of Many? https://poetinthewoods.blogspot.com/2019/09/the-voice-of-many.html?spref=tw #BREXIT #UK #Boris #muddling #confusion #2% #allchange?['poet', 'woods', 'voice', 'many', 'brexit', 'boris', 'muddling', 'confusion', 'allchang']poet woods voice many brexit boris muddling confusion allchangBoris Johnson-0.29600.7840.2160.000negative
3052132FebcpseedI don't need to learn anything about Brexit, I fully understand it will be truly awful and I for one cannot abide anyone relishing the prospect of Jan 2021 and the disaster being brewed up by this dictatorship lead by Johnson.['need', 'learn', 'anything', 'brexit', 'fully', 'understand', 'truly', 'awful', 'abide', 'anyone', 'relishing', 'prospect', '2021', 'disaster', 'brewed', 'dictatorship', 'lead', 'johnson']need learn anything brexit fully understand truly awful abide anyone relishing prospect 2021 disaster brewed dictatorship lead johnsonBoris Johnson-0.09900.4590.2600.282negative
3052222FebTheTrut27638359BBC News - Brexit: EU Parliament makes tough demands for talks https://www.bbc.co.uk/news/world-europe-51474001 Boris give them the['news', 'brexit', 'parliament', 'makes', 'tough', 'demands', 'talks', 'boris', 'give']news brexit parliament makes tough demands talks boris giveBoris Johnson-0.12800.8420.1580.000negative
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30142 rows × 12 columns

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" + ], + "text/plain": [ + " MONTH_INT MONTH_STR USERNAME \\\n", + "7 7 Jul Macetrain \n", + "9 7 Jul DerekJa09788684 \n", + "12 7 Jul johnleremainer \n", + "22 7 Jul Endoxa66 \n", + "24 7 Jul KamalJoshi108 \n", + "... ... ... ... \n", + "305173 2 Feb guardian \n", + "305174 2 Feb Col_Bogey \n", + "305179 2 Feb PoetintheWoods \n", + "305213 2 Feb cpseed \n", + "305222 2 Feb TheTrut27638359 \n", + "\n", + " TEXT \\\n", + "7 Nicola Sturgeon tells Boris Johnson: Brexit offers 'no democracy' for Scotland \n", + "9 If we ever get brexit.and Boris is looking more dodgy by the day. Will my continental quilt still work ????? \n", + "12 Media have finally realised that Brexit will be a disaster and that Johnson is a con-artist. It's all over. \n", + "22 @BorisJohnson this better be a joke or else you and the Tories are toast! #Brexit Boris hints UK may stay in single market and customs union until 2021 https://mol.im/a/7303103 via http://dailym.ai/android \n", + "24 \"Turbo-charge\" Brexit plans, with \"all necessary funding\": UK Prime Minister Boris Johnson https://www.ndtv.com/world-news/boris-johnson-on-brexit-turbo-charge-brexit-plans-with-all-necessary-funding-2077768 #News #KJ #KamalJoshi #Trending \n", + "... ... \n", + "305173 The Guardian view on Boris Johnson in court: Brexit’s war on the law | Editorial https://www.theguardian.com/commentisfree/2020/feb/12/the-guardian-view-on-boris-johnson-in-court-brexits-war-on-the-law?utm_term=Autofeed&CMP=twt_gu&utm_medium=&utm_source=Twitter#Echobox=1581534232 \n", + "305174 Johnson is Trump's poodle -- a weak, unpatriotic and irritating one at that -- Brexit has demeaned and weakened us ... \n", + "305179 Poet in the Woods: The Voice of Many? https://poetinthewoods.blogspot.com/2019/09/the-voice-of-many.html?spref=tw #BREXIT #UK #Boris #muddling #confusion #2% #allchange? \n", + "305213 I don't need to learn anything about Brexit, I fully understand it will be truly awful and I for one cannot abide anyone relishing the prospect of Jan 2021 and the disaster being brewed up by this dictatorship lead by Johnson. \n", + "305222 BBC News - Brexit: EU Parliament makes tough demands for talks https://www.bbc.co.uk/news/world-europe-51474001 Boris give them the \n", + "\n", + " TWEET_PROCESSED \\\n", + "7 ['nicola', 'sturgeon', 'tells', 'boris', 'johnson', 'brexit', 'offers', 'democracy', 'scotland'] \n", + "9 ['ever', 'brexit', 'boris', 'looking', 'dodgy', 'continental', 'quilt', 'still', 'work'] \n", + "12 ['media', 'finally', 'realised', 'brexit', 'disaster', 'johnson', 'artist', 'ov'] \n", + "22 ['borisjohnson', 'better', 'joke', 'else', 'tories', 'toast', 'brexit', 'boris', 'hints', 'stay', 'single', 'market', 'customs', 'union', '2021'] \n", + "24 ['turbo', 'charge', 'brexit', 'plans', 'necessary', 'funding', 'prime', 'minister', 'boris', 'johnson', 'news', 'kamaljoshi', 'trend'] \n", + "... ... \n", + "305173 ['guardian', 'view', 'boris', 'johnson', 'court', 'brexit', 'editori'] \n", + "305174 ['johnson', 'trump', 'poodle', 'weak', 'unpatriotic', 'irritating', 'brexit', 'demeaned', 'weaken'] \n", + "305179 ['poet', 'woods', 'voice', 'many', 'brexit', 'boris', 'muddling', 'confusion', 'allchang'] \n", + "305213 ['need', 'learn', 'anything', 'brexit', 'fully', 'understand', 'truly', 'awful', 'abide', 'anyone', 'relishing', 'prospect', '2021', 'disaster', 'brewed', 'dictatorship', 'lead', 'johnson'] \n", + "305222 ['news', 'brexit', 'parliament', 'makes', 'tough', 'demands', 'talks', 'boris', 'give'] \n", + "\n", + " TWEET_CLEANED \\\n", + "7 nicola sturgeon tells boris johnson brexit offers democracy scotland \n", + "9 ever brexit boris looking dodgy continental quilt still work \n", + "12 media finally realised brexit disaster johnson artist ov \n", + "22 borisjohnson better joke else tories toast brexit boris hints stay single market customs union 2021 \n", + "24 turbo charge brexit plans necessary funding prime minister boris johnson news kamaljoshi trend \n", + "... ... \n", + "305173 guardian view boris johnson court brexit editori \n", + "305174 johnson trump poodle weak unpatriotic irritating brexit demeaned weaken \n", + "305179 poet woods voice many brexit boris muddling confusion allchang \n", + "305213 need learn anything brexit fully understand truly awful abide anyone relishing prospect 2021 disaster brewed dictatorship lead johnson \n", + "305222 news brexit parliament makes tough demands talks boris give \n", + "\n", + " PM SENTIMENT_CP SENTIMENT_NEUT SENTIMENT_NEG \\\n", + "7 Boris Johnson 0.0000 1.000 0.000 \n", + "9 Boris Johnson -0.2263 0.808 0.192 \n", + "12 Boris Johnson -0.6249 0.631 0.369 \n", + "22 Boris Johnson 0.6249 0.718 0.000 \n", + "24 Boris Johnson 0.0000 1.000 0.000 \n", + "... ... ... ... ... \n", + "305173 Boris Johnson 0.0000 1.000 0.000 \n", + "305174 Boris Johnson -0.8271 0.408 0.592 \n", + "305179 Boris Johnson -0.2960 0.784 0.216 \n", + "305213 Boris Johnson -0.0990 0.459 0.260 \n", + "305222 Boris Johnson -0.1280 0.842 0.158 \n", + "\n", + " SENTIMENT_POS SENTIMENT \n", + "7 0.000 neutral \n", + "9 0.000 negative \n", + "12 0.000 negative \n", + "22 0.282 positive \n", + "24 0.000 neutral \n", + "... ... ... \n", + "305173 0.000 neutral \n", + "305174 0.000 negative \n", + "305179 0.000 negative \n", + "305213 0.282 negative \n", + "305222 0.000 negative \n", + "\n", + "[30142 rows x 12 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PM\n", + "Boris Johnson 0.9816\n", + "Theresa May 0.9906\n", + "Name: SENTIMENT_CP, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.groupby('PM')['SENTIMENT_CP'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "cdf['SENTIMENT_N'] = cdf['SENTIMENT'].apply(lambda x: 2 if x == 'positive' else (0 if x == 'negative' else 1))" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4 4028\n", + "10 3374\n", + "12 3247\n", + "3 3096\n", + "1 3019\n", + "11 2461\n", + "9 2278\n", + "7 2133\n", + "2 2041\n", + "6 1636\n", + "8 1591\n", + "5 1238\n", + "Name: MONTH_INT, dtype: int64" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cdf.MONTH_INT.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20,5))\n", + "sns.lineplot(x='MONTH_INT', y='SENTIMENT_CP', data=cdf, hue='PM', marker='o')\n", + "plt.title('Sentiment Analysis on Brexit Tweets 2019')\n", + "plt.xticks(cdf.MONTH_INT.sort_values().unique(), rotation=90) \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WordClouds" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "#vectorizing with TfidfVectorizer for wordclous\n", + "tweets = [tweet for tweet in cdf['TWEET_CLEANED']]\n", + "tfidf_vec = TfidfVectorizer(use_idf=True, ngram_range=(1,3)) \n", + "tfidf_m = tfidf_vec.fit_transform(tweets) \n", + "feature_names = tfidf_vec.get_feature_names() " + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "wc = WordCloud(height=500, width=1000, max_words=1000).generate(\" \".join(feature_names))\n", + "plt.figure(figsize=(10, 10))\n", + "plt.imshow(wc)\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [], + "source": [ + "df_march = cdf[(cdf.MONTH_STR == 'Mar')]\n", + "df_april = cdf[(cdf.MONTH_STR == 'Apr')]\n", + "df_june = cdf[(cdf.MONTH_STR == 'Jun')] \n", + "df_july = cdf[(cdf.MONTH_STR == 'Jul')] \n", + "df_nov = cdf[(cdf.MONTH_STR == 'Nov')] \n", + "df_dec = cdf[(cdf.MONTH_STR == 'Dec')]" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "#vectorizing with TfidfVectorizer for wordclous\n", + "tweets = [tweet for tweet in df_july['TWEET_CLEANED'] if tweet not in ['brexit','theresa', 'may', 'johnson']]\n", + "tfidf_vec = TfidfVectorizer(use_idf=True, ngram_range=(1,3)) \n", + "tfidf_m = tfidf_vec.fit_transform(tweets) \n", + "feature_names = tfidf_vec.get_feature_names() " + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "wc = WordCloud(height=500, width=1000, max_words=1000).generate(\" \".join(feature_names))\n", + "plt.figure(figsize=(10, 10))\n", + "plt.imshow(wc)\n", + "plt.axis(\"off\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "df_jan = cdf[(cdf.MONTH_STR == 'Jan')]\n", + "df_fev = cdf[(cdf.MONTH_STR == 'Fev')]\n", + "df_march = cdf[(cdf.MONTH_STR == 'Mar')]\n", + "df_april = cdf[(cdf.MONTH_STR == 'Apr')]\n", + "df_may = cdf[(cdf.MONTH_STR == 'May')]\n", + "df_june = cdf[(cdf.MONTH_STR == 'Jun')] \n", + "df_july = cdf[(cdf.MONTH_STR == 'Jul')]\n", + "df_aug = cdf[(cdf.MONTH_STR == 'Aug')] \n", + "df_sep = cdf[(cdf.MONTH_STR == 'Sep')] \n", + "df_oct = cdf[(cdf.MONTH_STR == 'Oct')] \n", + "df_nov = cdf[(cdf.MONTH_STR == 'Nov')] \n", + "df_dec = cdf[(cdf.MONTH_STR == 'Dec')]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "df_march = pd.concat([df_jan,df_fev,df_march,df_april])\n", + "df_june = pd.concat([df_may,df_june,df_july, df_aug])\n", + "df_sep = pd.concat([df_sep,df_oct,df_nov, df_dec])" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PM\n", + "Boris Johnson 0.95\n", + "Theresa May 0.98\n", + "Name: SENTIMENT_CP, dtype: float64" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_march.groupby('PM')['SENTIMENT_CP'].max().round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-project/tweets.ipynb b/your-project/tweets.ipynb new file mode 100644 index 00000000..63200c40 --- /dev/null +++ b/your-project/tweets.ipynb @@ -0,0 +1,2699 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "import GetOldTweets3 as got\n", + "import pandas as pd\n", + "import glob\n", + "import os" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def tweet_extractor(start_date, end_date):\n", + " tweet_criteria = got.manager.TweetCriteria().setQuerySearch('brexit').setSince(start_date).setUntil(end_date).setMaxTweets(5000)\n", + " tweets = got.manager.TweetManager.getTweets(tweet_criteria)\n", + "\n", + " df = pd.DataFrame([tweet.__dict__ for tweet in tweets])\n", + " print(df.shape)\n", + " df.to_csv(f\"tweets{start_date}-{end_date}.csv\", index=False)\n", + " \n", + " return df" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2019\n", + "\n", + "January 15: The government loses the first “meaningful vote” in parliament on the Brexit deal, by 432 votes to 202. It marks the worst government parliamentary defeat in the UK’s history.\n", + "\n", + "March 12: The government loses the second meaningful vote by 149 votes, after the UK’s attorney-general says a hastily-revised deal does not guarantee that the UK can exit the backstop unilaterally.\n", + "\n", + "March 20: Obliged to do so by parliament, May asks the EU to delay Brexit from March 29 until June 30. The next day EU leaders offer the UK two alternative extensions: to May 22 if the deal is passed, April 12 if it is not.\n", + "\n", + "March 29: The government loses a third meaningful vote on the Brexit deal in parliament, by a margin of 58 votes. However, this period also sees MPs unable to find a majority for any alternative solution – including a second referendum.\n", + "\n", + "April 10/11: After May requests another Brexit delay, EU leaders at a special summit approve a “flexible” extension of the UK’s membership, until October 31. The UK can leave the EU earlier if it passes the divorce deal.\n", + "\n", + "May 23: The UK takes part in elections for the European Parliament, obliged to do so as it is still an EU member. The next day Theresa May says she will stand down as Conservative Party leader on June 7. She will remain as prime minister until a new leader in place.\n", + "\n", + "July 23: Boris Johnson wins the Tory leadership contest after several weeks of ballots. The following day he enters Downing Street as the UK’s new prime minister.\n", + "\n", + "August 19: Johnson issues a formal plea to the EU to ditch the Irish backstop from the withdrawal agreement. The EU refuses.\n", + "\n", + "August 28: The UK Parliament is prorogued, or suspended, for five weeks, upon advice given to Queen Elizabeth II by Boris Johnson’s government.\n", + "\n", + "September 5: Johnson says he would rather be “dead in a ditch” than ask for another Brexit extension. It is one of several such comments over the summer and early autumn, insisting that the UK will leave the EU by October 31.\n", + "\n", + "October 3: The UK government sends a new Brexit plan to Brussels, including the removal of the backstop. It is widely greeted with scepticism, and rejected by the European Commission three days later.\n", + "\n", + "October 17: The UK and EU announce dramatically that they have struck a new Brexit deal, ahead of a Brussels summit. \n", + "\n", + "October 22: Johnson puts Brexit legislation on “pause”, citing MPs’ obstacles.\n", + "\n", + "October 28: The EU agrees to offer the UK a Brexit “flextension” until January 31. The offer is formally approved the next day.\n", + "\n", + "2020\n", + "\n", + "January 23: The UK’s EU Withdrawal bill becomes law, after a relatively smooth passage through parliament compared to the earlier havoc.\n", + "\n", + "January 31: The UK officially leaves the EU at midnight CET (11 p.m. UK time)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Extracting Tweets: 2016 - 2019 Theresa May Premiership" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(5000, 15)\n" + ] + }, + { + "data": { + "text/html": [ + "
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1brexit_clockNoneBrexit is now 31st January 2020 : 85 days, 22 ...0101192230169282535424https://twitter.com/brexit_clock/status/119223...9315713972808458242019-11-06 23:59:57+00:00Wed Nov 06 23:59:57 +0000 2019#BREXIT #BREXITCLOCK #CLOCK #EU #EUREF #LEAVE
2omnisophosDemocracyNotEUDepends if BREXIT is the only issue you're con...1011192230168275955712https://twitter.com/omnisophos/status/11922301...288715642019-11-06 23:59:57+00:00Wed Nov 06 23:59:57 +0000 2019
3MorganetwittzTheSunC'est quand le Brexit les gars? on veut plus v...0001192230164102623232https://twitter.com/Morganetwittz/status/11922...12634923252019-11-06 23:59:56+00:00Wed Nov 06 23:59:56 +0000 2019
4AllchangesNoneEU says it did not amend Theresa May’s Brexit ...2001192230160428421120https://twitter.com/Allchanges/status/11922301...1670171652019-11-06 23:59:55+00:00Wed Nov 06 23:59:55 +0000 2019https://www.independent.co.uk/news/uk/politics...
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4995AllanJGreenBrandonLewisCan't wait to see what the next Brexit Party i...0101192200094306705409https://twitter.com/AllanJGreen/status/1192200...6332323972019-11-06 22:00:27+00:00Wed Nov 06 22:00:27 +0000 2019
4996timbo995ConservativesHe's getting Brexit done by pausing it for mon...0001192200089047056385https://twitter.com/timbo995/status/1192200089...536731512019-11-06 22:00:25+00:00Wed Nov 06 22:00:25 +0000 2019
4997udibcNoneWe are only 2 weeks away from our November Lun...0001192200071678451713https://twitter.com/udibc/status/1192200071678...546858542019-11-06 22:00:21+00:00Wed Nov 06 22:00:21 +0000 2019@RBChttp://ow.ly/s2Cz50x3Wsv
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02019-01-16 23:59:59+00:001085688144823898114karllesteryapU.S. stocks held onto gains, May survives a no...
12019-01-16 23:59:59+00:001085688142915612672HorseBettingAUIrish racing authorities have major concerns o...
22019-01-16 23:59:57+00:001085688135055564800PaulKnightsThis is news? May's stubbornness & refusal to ...
32019-01-16 23:59:57+00:001085688135017746434MGvanDalenZo, van een leuk gesprek met @MinPres #MarkRut...
42019-01-16 23:59:55+00:001085688128189403136ARichards1877Pity the woman , she grasped for power little ...
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749952019-02-24 21:42:51+00:001099786760375144448DavidWh05361616Then we can all have a big celebration. It wil...
749962019-02-24 21:42:50+00:001099786757166501888Drew77SimonAgain, I'm angry but coming from a different a...
749972019-02-24 21:42:49+00:001099786753269993472ForexLiveUK press: Brexit will be delayed 2 months unde...
749982019-02-24 21:42:49+00:001099786750774427649PaulinaAstrozaSPor lo que leo en prensa británica, existe fue...
749992019-02-24 21:42:49+00:001099786750673764352JamieMcg1912Funny how you and your party didnt care about ...
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4brexit_clockNoneTime until BREXIT is 70 days, 22 hours, 59 min...1201086050519200739328https://twitter.com/brexit_clock/status/108605...9315713972808458242019-01-17 23:59:56+00:00Thu Jan 17 23:59:56 +0000 2019#BREXIT #BREXITCLOCK #CLOCK #EU #EUREF #LEAVE ...@WhichHeatPresshttps://bit.ly/2AcV96E
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0theresa_gavittrobertdunlap947@RepJerryNadler truly needs psychiatric check ...2101123376448151130112https://twitter.com/theresa_gavitt/status/1123...8848337004914278442019-04-30 23:59:51+00:00Tue Apr 30 23:59:51 +0000 2019#WeThePeople #WeThePeople@RepJerryNadler @SpeakerPelosi @LeaderHoyer @G...
1MadamMiaowLenMcCluskeyRamsay MacCorbyn ushers in the far right whose...0101123376173520752640https://twitter.com/MadamMiaow/status/11233761...157046812019-04-30 23:58:45+00:00Tue Apr 30 23:58:45 +0000 2019#PeoplesVote@jeremycorbynhttps://twitter.com/LenMcCluskey/status/112328...
2itsHxrdnNoneTheresa se pasa el día roja.0001123376115995824128https://twitter.com/itsHxrdn/status/1123376115...11215807503007539202019-04-30 23:58:32+00:00Tue Apr 30 23:58:32 +0000 2019
3Theresa_Apodeserthouse98支持祖国统一的鉴 泪，拉了下来0101123375945891532800https://twitter.com/Theresa_Apo/status/1123375...8534267698392596482019-04-30 23:57:51+00:00Tue Apr 30 23:57:51 +0000 2019
4theresa_gavittAOCThank @NYGovCuomo @SenSchumer @SenGillibrand @...0001123375919719231489https://twitter.com/theresa_gavitt/status/1123...8848337004914278442019-04-30 23:57:45+00:00Tue Apr 30 23:57:45 +0000 2019#WakeUpAmerica@NYGovCuomo @SenSchumer @SenGillibrand @Billde...
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4995Yatu_TheresaNone懐かしい0001123195703277154304https://twitter.com/Yatu_Theresa/status/112319...7299119800105451532019-04-30 12:01:38+00:00Tue Apr 30 12:01:38 +0000 2019
4996connjamNoneBrexit: Theresa May threatens Labour she will ...0001123195703143075840https://twitter.com/connjam/status/11231957031...371825712019-04-30 12:01:38+00:00Tue Apr 30 12:01:38 +0000 2019#Labourhttps://apple.news/ARYzsXb3dSquvlkDwcHtMNg
4997DaveLarkhallNone....Just 29 per cent of those who voted for Th...71411123195689016553473https://twitter.com/DaveLarkhall/status/112319...1099389422019-04-30 12:01:34+00:00Tue Apr 30 12:01:34 +0000 2019
4998AndrewTPearsonCyril_MatvechSo was Theresa lying when she said she lost th...0111123195677151059973https://twitter.com/AndrewTPearson/status/1123...2755669692019-04-30 12:01:32+00:00Tue Apr 30 12:01:32 +0000 2019
4999chalscribeDavidHerdsonWhich is presumably why leadership contenders ...0011123195661745295360https://twitter.com/chalscribe/status/11231956...22749383472019-04-30 12:01:28+00:00Tue Apr 30 12:01:28 +0000 2019
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usernametotextretweetsfavoritesrepliesidpermalinkauthor_iddateformatted_datehashtagsmentionsgeourls
0CandaerReynolds1maggiewinterBet he bloody does tho.0301211799119225905152https://twitter.com/CandaerReynolds/status/121...16611468552019-12-30 23:59:58+00:00Mon Dec 30 23:59:58 +0000 2019
1marnwalNoneI recall in BBC's 'Outnumbered' that a German ...0001211799078520180739https://twitter.com/marnwal/status/12117990785...2287703962019-12-30 23:59:49+00:00Mon Dec 30 23:59:49 +0000 2019
2william66421101Vote_ForBritainIt is difficult to argue with any of this..Tre...0101211799063684960257https://twitter.com/william66421101/status/121...10796762461608222722019-12-30 23:59:45+00:00Mon Dec 30 23:59:45 +0000 2019
3ImSoBrexcitednikniknature#StrengthenTheBan. The legislation in place is...0101211799050967814147https://twitter.com/ImSoBrexcited/status/12117...7463640882473246732019-12-30 23:59:42+00:00Mon Dec 30 23:59:42 +0000 2019#StrengthenTheBan@BorisJohnson
4RafyRazwanBorisJohnson0001211799049432469504https://twitter.com/RafyRazwan/status/12117990...9553976259638845492019-12-30 23:59:42+00:00Mon Dec 30 23:59:42 +0000 2019
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4995Schroedinger99NoneThough it should also be noted that there is n...0201211723148187643904https://twitter.com/Schroedinger99/status/1211...234202172019-12-30 18:58:05+00:00Mon Dec 30 18:58:05 +0000 2019
4996AKWalker5uk_sf_writerHe’s doing just fine so far2801211723122979823616https://twitter.com/AKWalker5/status/121172312...3567747272019-12-30 18:57:59+00:00Mon Dec 30 18:57:59 +0000 2019
4997Jojones2762Anniepop2027Vote Remain were also fined by the Commission....0111211723102482305025https://twitter.com/Jojones2762/status/1211723...9348951781790720002019-12-30 18:57:55+00:00Mon Dec 30 18:57:55 +0000 2019
4998MaguaSifAnMeVaseDonald og Boris må gøre noget rigtigt siden fa...0201211723087558971395https://twitter.com/MaguaSif/status/1211723087...23531214942019-12-30 18:57:51+00:00Mon Dec 30 18:57:51 +0000 2019@dkmedier
4999slay4ever007JamieBrysonCPNIYou're quite correct jamie.. and he knows it ....0001211723077127692288https://twitter.com/slay4ever007/status/121172...27433147792019-12-30 18:57:48+00:00Mon Dec 30 18:57:48 +0000 2019
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usernametotextretweetsfavoritesrepliesidpermalinkauthor_iddateformatted_datehashtagsmentionsgeourls
0Theresa_DunnpattonoswaltLove love love0101211798949121740805https://twitter.com/Theresa_Dunn/status/121179...213259872019-12-30 23:59:18+00:00Mon Dec 30 23:59:18 +0000 2019
1Theresa__BeanSINDE_Lou_wholook at my friends!0201211798771715235840https://twitter.com/Theresa__Bean/status/12117...47049423492019-12-30 23:58:35+00:00Mon Dec 30 23:58:35 +0000 2019
20161JimmySirStevoTimothyYou are a bad, bad man!0101211798631109533696https://twitter.com/0161Jimmy/status/121179863...11011931406676009002019-12-30 23:58:02+00:00Mon Dec 30 23:58:02 +0000 2019
3IanTwattertrudyasherSounds like you have a personal interest to de...0011211798287298236416https://twitter.com/IanTwatter/status/12117982...32088633472019-12-30 23:56:40+00:00Mon Dec 30 23:56:40 +0000 2019https://www.thesun.co.uk/news/4218648/british-...
4PadrinoMattKyle_V_H_I’m v Theresa May “I have tried three times” w...0211211798119706451969https://twitter.com/PadrinoMatt/status/1211798...3510014232019-12-30 23:56:00+00:00Mon Dec 30 23:56:00 +0000 2019
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4995Theresa__96WiedemuthDanke, das gibt mir jetzt Hoffnung0101210901998205362176https://twitter.com/Theresa__96/status/1210901...9671788593963868162019-12-28 12:35:08+00:00Sat Dec 28 12:35:08 +0000 2019
4996reciruTheresa_etcありがとう(*´ω｀*) マイスィートえんじぇる0011210901973098102784https://twitter.com/reciru/status/121090197309...1922755762019-12-28 12:35:02+00:00Sat Dec 28 12:35:02 +0000 2019
4997live_theresaNone3 pessoas visualizaram seu perfil agora http:/...0001210901867531776000https://twitter.com/live_theresa/status/121090...9767970672019-12-28 12:34:37+00:00Sat Dec 28 12:34:37 +0000 2019http://twcm.co/IHMqy
4998aleppowerupNoneMy Letter to Dear Theresa May, please read my ...0001210901517089292290https://twitter.com/aleppowerup/status/1210901...8644858105901015062019-12-28 12:33:13+00:00Sat Dec 28 12:33:13 +0000 2019
4999McDowellBtThePeoplesHubUKAnd the Queen, allegedly, is going to handover...0001210901506888806400https://twitter.com/McDowellBt/status/12109015...11112929172019-12-28 12:33:11+00:00Sat Dec 28 12:33:11 +0000 2019#BorisJohnsonLies
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0sinoia2TheClobsWtf is anti democratic about standing on princ...0111111780067791781888https://twitter.com/sinoia2/status/11117800677...10641275845507727362019-03-29 23:59:58+00:00Fri Mar 29 23:59:58 +0000 2019
1ConstantinStHe1BorisJohnsonObviously not half as bitterly as the electora...0001111780066466451456https://twitter.com/ConstantinStHe1/status/111...9504731730778234892019-03-29 23:59:58+00:00Fri Mar 29 23:59:58 +0000 2019https://twitter.com/BorisJohnson/status/111156...
2Ruineves27None#JN chamem o Boris Casoy ou o Heródoto Barbeir...0201111780026515628033https://twitter.com/Ruineves27/status/11117800...8998261344053043212019-03-29 23:59:48+00:00Fri Mar 29 23:59:48 +0000 2019#JN
3martykn42908668ByDonkeysTwo words should be expunged from the English ...0001111780006433304577https://twitter.com/martykn42908668/status/111...10562101856000122882019-03-29 23:59:44+00:00Fri Mar 29 23:59:44 +0000 2019
4Andrew_InStreNone......you mean Boris Johnson aka Krusty The Cl...0001111779964419014656https://twitter.com/Andrew_InStre/status/11117...5731206462019-03-29 23:59:34+00:00Fri Mar 29 23:59:34 +0000 2019@LBC @NIAbbot
................................................
4995KarrieA27056494BorisJohnson0001111669242557071363https://twitter.com/KarrieA27056494/status/111...10770302769230807042019-03-29 16:39:35+00:00Fri Mar 29 16:39:35 +0000 2019
4996stayontheleftNoneyou forgot boris gardenbridge johnson0001111669241386807296https://twitter.com/stayontheleft/status/11116...9844299381986222092019-03-29 16:39:35+00:00Fri Mar 29 16:39:35 +0000 2019
4997NWTRANoneBoris and Mogg Have Shown Their True Colours: ...0101111669191407517697https://twitter.com/NWTRA/status/1111669191407...1492043112019-03-29 16:39:23+00:00Fri Mar 29 16:39:23 +0000 2019@SputnikInthttps://sputniknews.com/radio-shooting-from-th...
4998StevenPHartleyRealGaryWebsterHe is a total charlatan. An awful human being.0101111669181697720322https://twitter.com/StevenPHartley/status/1111...3617523252019-03-29 16:39:21+00:00Fri Mar 29 16:39:21 +0000 2019
4999regordanedavehodgBoris Johnson bought them. Nuff said. They end...0211111669170809327616https://twitter.com/regordane/status/111166917...141169552019-03-29 16:39:18+00:00Fri Mar 29 16:39:18 +0000 2019
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