STOCK MARKET PREDICTION USING SENTIMENTAL ANALYSIS - A VADER APPROACH

Stock markets are appealing to retail investors or the general public because of their highly rewarding nature. But the working dynamics of the stock market are complex and difficult to understand, so making an informed decision would not be simple and easy. Many schemes are proposed which help in making a decision based on statistical or historical data. But there are many other factors that affect the price of the stock. Factors such as politics, company- related factors (product launches, new investments, etc), investor sentiments, interest rates, and future eventsIn this paper, we are proposing a new method of predicting stocks by performing sentimental analysis on the financial data. A sentiment is analyzed on the subjectivity and polarity index by classifying it into positive and negative news. The data from Twitter, financial news are analyzed based on subjective and polarity indexes. The proposed scheme has achieved 91% accuracy using Linear Discriminant Analysis.