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Smart-News-Scraper

Application written in Python-Django to fetch news from RSS feeds and predict if a news article is relevant to the alumni of NIT Warangal. Uses NLTK's Naive Bayes, Text Classification and Sentiment Ananlysis tests.

Libraries Used:

  1. Beautiful Soup 4
  2. Feedparser
  3. NLTK
  4. Requests

Approach and Algorithms used

Discussed in [this blog post] (https://shubhisaxena01.wordpress.com/2016/02/11/the-genesis-of-smart-news-scraper/)

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  • Python 96.4%
  • HTML 3.6%