It is a Lexicon based Twitter Sentiment Analysis project with two different approaches: a) Using Tweepy and TextBlob Libraries in Python to analyze any trending topic on Twitter and classify it based on Polarity score. b) Using Kafka producer, PySpark and Python to analyze live streaming data and classify the sentiments as positive and negetive. It also keeps track of the trend over a period of time, about how people's reaction change to a particular topic.