Sentimental analysis is done on US Airline tweets dataset, where different visualization are generated based on the various factors. Tweetes are classified into positive negative and neutral tweets.
1.The total count of this tweets according to sentiments.
2.Visualization on tweets counts according to the time hours.
3.Word Cloud of the tweets.
1.Directly running app.py (Endpoint for Streamlit dashboard will be visible)