sarmishra / Twitter-Sentiment-Analysis-with-Django-UI

Twitter Sentiment analysis classified the tweets either positive or negative on the basis of previous datasets. The classification was done by using a naive Bayes classifier. Every day on Twitter million of users tweet their views, so it helps to classify all these tweets. We used Python for the programming language and Django framework for UI.

Twitter-Sentiment-analysis_Django_UI

"Twitter Sentiment Analysis” is a Data mining & Machine Learning related project developed as a Major Project, according to the IOE curriculum, which deals with the sentiment of all the tweets by using Naive Bayes classification. It's a case of supervised learning, which identifies whether a tweet is positive or negative on the basis of previous datasets. Every day on Twitter million of users tweet their views, So it helps to classify all these tweets. For the application of this project, we also analyzed and compared the tweets of different people and drew conclusions from their tweets.