Financial News Analyzer using Sentiment Analysis to help people make more informed trading decisions by looking at financial news of different companies on a specific day. This allows the user to view trends and daily sentiment of news across various news platforms (i.e Bloomberg, Yahoo Finance, CNBC, etc). Positive Numbers (>0) represent positive overall daily news and Negative Numbers (<0) represent negaive overall daily news. This application allows users to also determine possible relationships between different stocks/industries pending on tickers (stocks) selected).
Using Python and Pandas, NLTK, Matplotlib, & Beautiful Soup modules to plot average polarity scores of financial news, compared with several different companies.
The figure compares the sentiment of news data based on Amazon (AMZN), Facebook (FB), and Google (GOOG) over a week long period.
