1. Introduction
With the rapid development of the economy, investment in stocks has become an important part of people's lives. Stock price prediction has become the focus of attention. Since the stocks appweare first traded, stock price forecasting ihas widbelyen a concerned and hastudied by theen soctudiety,d. sScholars have put forward many prediction methods. The traditional forecasting methods isnclude regression analysis, the time series method, etc. There are many factors that affect the stock market volatility,. fFinancial news areis one of the most important factors that can have an impact on the market. The rResearches in the field of economics haves launched a series of studies on the relationship between financial news and the stock market, and a large number of studies have indicated that news haves an impact on the stock market. Actually, all financial related information affects stock market volatility [1-2]. Theise information can be either quantitative andor qualitative information. Quantitative information that can be directly obtained from the actual observation data, that includisng technical indicators, such as dividend stock ratio, book-to-market ratio, profit, etc. But qualitative information refers to factors that cannot be directly described by data, for example, the business environment, the degree of education, technical advantages, wars, natural disasters, changes in government economic policy, etc.