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News-Sentiment-Analysis-in-Python

This Projects attempts to analyze the daily news we are subjected to. The complete analysis consists of 2 Sections.

Section 1: This section involves sentiment analysis of the news articles, We try and investigate if the sentiments associated with the news articles to answer the following questions

  1. Is the Media focussing too much on the negative side of the story? Do the negative news dominate the headlines ?
  2. Is there a perticular trend in the way the major publishishers from around the world report stories?
  3. Do the word distribution in news articles picked up randomly follow the zipf's law?
  4. Bigram Analysis of the headlines Section 2: Impact of News sentiment on stock market prices. Does it mean that if news is demoninated with negative news, the stock prices fall?

API used : API Chosen: Two API's were chosen for this project, all the news articles were collected from https://newsapi.org/ . NewsAPI provides real time news articles from a wide variety of news publishers. The data for the stock prices was needed in the Section 2 of this project and hence another API was needed. The data was obtained from https://www.worldtradingdata.com/

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