Abstract

The present investor sentiment detection relies mainly on the data from security exchange market, such as the discount of closed-end fund, the premium rate on the first day of IPO and other indexes. Although they can directly substitute for investor sentiment, those indexes lack objectivity and timeliness, and thus cannot provide precise evaluation over investor sentiment. With the development of information technology, people gradually engage in recreational activities and make friends via the Internet, and express their own opinions based on the on-line information. In this regard, the influence from investor focus and investor sentiment in the on-line social media upon stock market has been explored from the perspective of big data on line. According to analysis on investor sentiment and dynamics concerning stock market earnings, those two indexes are positively correlated and the stock market fluctuates sharply in a short period of time. Sound countermeasures should be taken to enhance the safeguard against such fluctuations.

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