基于文本挖掘的新浪财经新闻与股市投资策略

北京理工大学珠海学院2020届本科生毕业论文Research on Sina Financial News and Stock Market InvestmentStrategy Based on Text MiningAbstractIn the 21st century,an era of fast-paced life,information development is arguably the fastestchanging thing in our daily lives.As one of the most convenient ways to understand infor-mation,the Internet has become an indispensable tool for humans to obtain information.Obtaining infomation through the Internet is not only convenient and fast,but also morecomprehensive and effective than other methods.In the context of this era,how to analyzethe relevant information in the mass information in the most appropriate way,extract themost representative and distinctive keywords,and classify the mass text information in areasonable and effective way.For website search The engine provides keywords,users savetime and cost,thereby improving website satisfaction,etc.are of great significance.Stock-s are also the most frequently discussed financial topics in our daily lives.China's stockmarket has always made a great contribution to China's economic development that cannotbe ignored.When the public pursued the "stock fever",some people made certain gainsand even made a fortune,but some people continued to lose money in the stock market andeven went bankrupt.How to formulate an effective investment strategy to achieve a certainincome effect on the premise of avoiding losses is also a topic we need to pay attention to.The research content of this paper takes Sina Finance as an example,based on text miningtechnology,using the crawler technology of Python language to crawl the text informationof Sina Finance,and finally got 750 effective samples in five categories,and then these 750The samples are randomly divided into training and test sets.The Naive Bayes model isused to classify the sample text and the accuracy of the model is tested.The text classifi-cation technology of financial news is implemented,and the advantages and disadvantagesof the model are evaluated.Finally,an effective investment strategy in related fields wasformulated based on the established keywords,and a strategy backtest was carried out inFlush Huan Software.The research in this paper realizes the application of Naive Bayes in text classification,and has certain practical significance for the text segmentation of the website,provides aneffective basis for the text classification and inspection of the website,and provides somecertain in accordance with.Keywords:Finance Text Mining Naive Bayesian Model Investment Strategy