News Application

• Tech Stack: Selenium | MongoDB | ExpressJS | NodeJS | ReactJs
• Github URL: Project Link

Built a 3-tier web application through which we display news articles in a summarized form based on the user's areas of interest.

This summarization would help users save time while retaining necessary information from articles.

Realtime news from nbcnews.com website is scraped and mined through data cleaning and pre-processing.

Summarization of the content collected from the news website is followed by classification and recommendation of these news articles to users

Compared the performance of classification of the articles using TF-IDF, NMF and K-means Clustering algorithms

Recommendation the news articles was supported using Word2Vec and Bag of Words algorithms