Stock market forecast using sentiment analysis

Ahuja, R.,Rastogi, H.,Choudhuri, A.,Garg, B.

Computing for Sustainable Global Development（2015）

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摘要

Public opinion and stock market sentiment analysis have been used in this paper to find a relation between public moods and the stock market. We have used twitter data for predicting public emotion and past stock values to predict stock market movements. Thus by doing so we have been successful at obtaining high accuracy and capturing large scale trends.

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emotion recognition,financial data processing,social networking (online),stock markets,public emotion prediction,public moods,public opinion analysis,stock market forecast,stock market movements,stock market sentiment analysis,twitter data,bse,microblogging data,returns,sentiment,financial market,prediction,statistical learning theory,algorithm design and analysis,prediction algorithms,sentiment analysis,market research

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