Analysis Of The Influence Of Industry Experts On The Company 's Stock Price

With the rapid development of Internet, Shareholders are usually netizen, The information structure of the stock market has changed profoundly. Information release is already one of the basic rights of Internet users. Compared with the ordinary Internet users, The words of experts in the media has a higher attention. But, how to use the information is really a problem. Because the information from internet is huge and been changed all the time.In this paper, I use the network spiders crawling mass of the original text, separate the words from original text. After all I clean them to get useful words. Based on the real estate sector stocks rise and fall of the situation, I construct the quantitative indicators. Then analyzed the influence of the comments on the stock market. The research results not only has important reference value for judging the stock market price,but also be useful to analyzed of the foreign exchange market and futures market.This article not only analyses the influence degree of the experts with different influence on the stock market, also analyses different correlation between the stock market fluctuations and the frequency of the occurrence of some of the phrases from the expert. In the end, we got the Na?ve Bayesian Classifier based on the massive of data sets. Validated found its ability to predict is strong. In this paper, by using computer science information retrieval and natural language processing technology, I got useful information from a huge number of Internet.Use the media of information to compensate for the asymmetric information, and provides a feasible path for stock prediction analysis. But due to the mining model established in this paper is not very perfect, If we could get together with the preprocessing, segmentation, feature extraction, it will be more helpful for the mining of information from internet.