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Sentiment analysis of Tweets - dockerized

General info

Automated sentiment analysis of tweets of a Twitter user. The default user is "rasbt". The programm will get the latest tweets of the user, save them in a mongodb, analyze the sentiment of each tweet, save them in a postgresdb and finally post the tweet with the most negative and the tweet with the most positive sentiment to slack via a slackbot. Each of this processes is realized in a docker container.

Technologies

  • Python 3.9.7
  • Docker 22.06.0-beta.0, build 3e9117b
  • libraries and its versions are listed in requirements.txt and can be installed with:
$ conda install --name <environment_name> --file requirements.txt

Setup

  1. In the get_tweets.py file add your Twitter BEARER TOKEN:
12 BEARER_TOKEN = "<BEARER_TOKEN>"
  1. In the same file you can change the Twitter user name (optional):
26 user = "rasbt"
  1. In the slackbot.py file add your slack webhook_url:
10 webhook_url = "<webhook_url>"
  1. To create all docker images, go to the directory containing the docker-compose.yml file and run in your terminal:
$ docker-compose build
  1. Finall, to start all docker containers run in the terminal:
$ docker-compose up -d