Sentiment Analysis Sentiment analysis can be a useful tool to understand public perception of a project on GitHub. Here's a quick rundown: What it does: Analyzes tweets mentioning the project to measure overall sentiment (positive, negative, or neutral). Claffication of Negative and Positive Tweets: Here '0' represents Negative Tweets, and '1' represents Positive Tweets Seeing how much our training data and testing data differs in length: Top 30 most used words in the Test Data: Visualisation of Vocabulary in the Tweets: Visualisation of Normal Words: Visualisation of Negative Words: Here are the Top 'Positive' Hashtags used in the Tweets: Here are the Top 'Negative' Hashtags used in the Tweets:
