Marketing and News Propagation is not very good on social media and if there is a disaster then people might not even get the news.
We take the content in of the tweet and analyze the content and then make a prediction how well it would do. News agencies and marketers will have the opportunity to edit their content for most reach.
We used Flask, sci-kit-learn, the twitter api, microsoft linguistics api for the backend and analysis and react js for the frontend.
Accurately figuring out which parts of the speech were more important for the prediction proved tough to figure out.
We have a final end product that works.