Using sentimental analysis in prediction of stock market investment

Abstract

Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed on the data extracted from Twitter and Stock Twits. The data is analyzed to compute the mood of user's comment. These comments are categorized into four category which are happy, up, down and rejected. The polarity index along with market data is supplied to an artificial neural network to predict the results.