Sentiment Analysis of News Headlines for Stock Price Prediction
Keywords:
Sentiment Analysis, Naive Bayes, SVM, KNNAbstract
Stock market data analysis needs the help of artificial intelligence and data mining techniques. The volatility of stock prices depends on gains or losses of certain companies. News articles are one of the most important factors which influence the stock market. This study basically shows the effect of emotion classification of financial news to the prediction of stock market prices. In order to find correlation between sentiment predicted from news and original stock price and to test efficient market hypothesis, we plot the sentiments of two companies (Infosys and Wipro) over a period of 10 years. For emotion classification, various classifiers such as Naive Bayes, Knn and SVM are evaluated. The comparison between positive sentiment curve and stock price trends reveals co-relation between them.
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http://www.moneycontrol.com/stocks/companydetails/hist_graph.php
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