news on fire

IMHO with apps like Google News providing news customised for each user, they defy the very basic principle of journalism. users see what they want to not what they need to

So here is my attempt to show trending news, basically news that you should know.

1. The web app scans for news articles and extracts meaningful keywords (using nlp algorithms) from the news item.
2. Then uses these keywords to search for twitter activity and google search trends.
3. Finally ranks the articles based on the people interest in them. A responsive front-end displays the top trending articles.

The app was built with.

• the news brain (backend) written in pure python and uses nltk, sklearn and pandas libraries.
• the front-end is designed using twitter bootstrap.

This is my first full-stack project, wherein I have coded the UI, the application and the DB !

I have named it news on fire, check it out here.