Programming Language JAVA. This is a Maven Project
The code for Tweet Sentiment Analysis is present in TweetSentiment folder.
The code for Tweet Semantic Analysis is present in TweetSemantic folder.
Twitter Sentiments and Semantics Analysis:
-
Executed Java Spring Program on GCP Virtual Machine to extract keyword specific Tweets using Twitter API and storing in MongoDB collections.
-
Used MapReduce function from Apache Spark Cluster to count frequency of words in tweets.
-
Performed Analytics of tweets in IBM Cognos to get powerful insights of data
-
Implemented Sentiment Analysis by fetching tweets and calculating polarity
-
Generated Semantic Analysis of tweets by processing with Regular Expressions and storing in collections