GitHub repository: Bhard27/Extracting-Stock-Sentiments-from-News-Headlines-using-Sentimental-Analysis
Primary language: HTML
Created: 2020-06-12T23:05:14Z
Description: In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz. Using this natural language processing technique, I was able to 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 Facebook (FB) and Tesla (TSLA) stocks from FINVIZ.com, a popular website dedicated to stock information and news. Made a plot to visualize the positive, negative, and neutral scores for a single day of trading and single stock.