Hackathon project that scraps the web for news from famous outlets. The news are then analyzed by IBM's Watson for dominant tone and sentiment-heavy sentences. The results are then displayed online in an easy-to-digest way.
Flavored News pulls news articles in several news categories from several prominent news providers--currently, CNN, BBC, and Fox, with the framework set in place to allow extension to more. It scrapes the articles and pulls out the important parts--title, author, date, body text--and displays their summaries in a dashboard feed. The features of the feed are as follows:
Users can select a story's summary to view its breakdown in more detail:
The web scrapper was written in Python, along with the interaction with IBM's Watson. The web client, which I was in charge of, was built with Meteor. For demo purposes, the project was deployed to MDG's Galaxy. For later deployment, we used Azure.