A Study On The Co-movement Of Concept Stock Public Opinion And Stock Prices Based On Text Mining

Investment decisions in today’s stock market rely not only on traditional financial analysis methods,but also on advanced information mining and processing techniques.Based on text mining technology,this study analyzes the impact of current public opinion information on Apple Inc.on some listed companies in the Apple industry chain,guiding investors to expand positive returns in the stock market.The study found that stock fluctuation analysis not only relies on local information such as corporate announcements,product data,and performance reports,but also needs to comprehensively combine the changing trends of the overall market environment to more accurately analyze the short-term trends of specific stocks.Therefore,this study designs a new text miningbased Point-Point(P-P)algorithm based on traditional algorithms for stock volatility factors.The algorithm adds external market interference,international and regional economic trends,and other environmental factors,and can crawl key information from internet text data for analysis.In the sentiment analysis stage of the algorithm,this study establishes and introduces a local sentiment dictionary database to provide more accurate and efficient judgment basis for financial investment.In addition,the algorithm can continuously update the media information of a designated company,follow up with positive and negative news of the company,dynamically predict stock prices and trends,improve the accuracy of investor predictions,and increase returns.This study has three main aspects:(1)In the sentiment analysis stage of text mining,establish and introduce a local sentiment dictionary database.(2)In the analysis of public opinion information,analyze the stock prices and market values of relevant listed companies in the Apple industry chain based on external information such as market sentiment,attention,corporate value,policy factors,economic environment,and changes in the world situation.Based on the above two points,this study builds a P-P algorithm that includes the above two points based on traditional methods.(3)Through a sampling survey of the stock prices of listed companies such as Lens Technology,Desay Battery,Goer Tek,and Luxshare Precision,which are listed on the mainland China stock market of Apple Inc.,this study introduces the P-P algorithm to analyze news within a specific time period and make investment strategy recommendations,while observing whether the short-term stock price trends correspond to the news surface one by one,thereby reverse-proving the rationality of the P-P algorithm investment strategy.