Abstract: Stock market prediction is trying to determine the future value of a company stock. The company should make a profit when the prediction of stock’s future price could be successfully done. News article and social media can affect the stock market. The Twitter is one of the most useful social media that can help to predict public mood. The predicted mood and previous day value are useful for predicting stock market price. This paper discusses the prediction of the future stock market with help of sentiment score. The different techniques can be used to classify result of sentiment score. In this paper, the different technique for stock market prediction is introduced. We also discuss technology that speedup the computation which will improve the performance.

Keywords: Clustering, classification techniques, Sentiment analysis, Social data analysis, Stock market prediction.