Tweet Sentiment Analysis

This Project was developed during a Datathon competition organized by Codanics to analyze the sentiment of tweets and Texts in Realtime. The tweets are fetched using Twitter API and then analyzed using a pre-trained model called Vader. We have also used the Text blob model to classify the text. Web App has three pages. We have also analyzed dataset taken from Kaggle.