A stock market trend forecasting method based on stock sentiment analysis

Abstract

With the rapid development of Internet applications and the rapid growth of users , the reviews and opinions of stock market largely reflect the quotation of the stock market,simultaneously it affects the ups and downs of the stock market. Therefore, how to quickly and efficiently analyze the attitudes and opinions of netizens to the stock market,which,this question plays important role in guiding us to predict the stock market. The thesis studies the rising and falling trend of stocks by analyzing the emotional polarity of different professional issuing stocks. This paper proposes a sentiment analysis method based on a dictionary of consistent integrated financial phrases and weighted at the end of paragraph, which can solve the dependency problem of sentiment dictionary on the domain，and it can effectively improve the accuracy of sentiment analysis. In addition, this paper also proposed a windowed stock prediction model, which can be used to analyze the optimal value of the forecast event window. The experimental results shows that it will be better to predict the rising or falling trend of a particular stock just based on the stock market sentiment analysis.

Keywords

• analysis of sentiment
• stock assessment
• prediction model
• emotional dictionary