Using News Headlines to predict weather the Next day's news would increase the stock price of a news channel or not.
The model is build using bag of words problem and Random Forests:
it will generate investing insight by applying sentiment analysis on financial news headlines from Finviz. Using natural language processing technique it will understand the emotion behind the headlines and predict whether the market feels good or bad about a stock.
The datasets used in this project are raw HTML files for the Facebook (FB) and Tesla (TSLA) stocks from FINVIZ.com, a popular website dedicated to stock information and news.