Prediction on Stocks Using Data Mining

Abstract

Stock market is a very volatile space. Accurately predicting the changes in the stock prices may prove exceedingly profitable to the investors and assist them in making smarter decisions. This research subject uses Twitter sentiment analysis to obtain the overall sentiment of the users towards the company in question which ideally leads to the changes in the stock market prices. This study attempts to implement a data mining technique called Random Forest Algorithm and use the same with the twitter sentiment score of the company to accurately predict the fluctuations in the stock market.

Keywords: Data mining, stock, Random Forest, Twitter sentiment analysis