The present invention provides artificial intelligence for big data of data that is easy to access and has a large amount of information, such as newspaper articles and broadcast news, portal site articles and comments, rumors, various public announcements, national policies, natural disasters, technical reports, accounting data, etc. It is about an analysis and evaluation system for the stock price impact of a listed company based on big data analysis of public information that collects and analyzes it to evaluate the impact on the stock price of a listed company, so it provides the direction for selecting stocks of a listed company that can maximize investment returns. Big data of publicly available information including portal site articles and comments, disclosures, policies, natural disasters, technical reports, exchange rates and financial information, and stock market trends are artificially transmitted through channels assigned to each communication method of the multi-channel public communication network. The artificial intelligence stock price analysis server, which analyzes and evaluates the impact on the stock price of listed companies by periodically collecting and analyzing it using intelligence, and the One or more mass media consisting of one or more articles and broadcast news, portal site articles and comments, disclosures, policies, natural disasters, and public information including technical reports are linked to the generated time information to manage the records together and provide them upon a search request. Due to the characteristics of including an open information server, it collects a large number of information disclosed in various forms through multiple media as big data and analyzes it with artificial intelligence to analyze and evaluate how it affects the stock price of a specific listed company. It provides a direction to select stocks of relatively high listed companies, which has the effect of maximizing the return of investors.
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