METHOD OF PREDICTING A STOCK PRICE THROUGH AN ANALYSIS OF A SOCIAL DATA AND WEBDATA RELATED THE SECURITIES MARKET AND SYSTEM APPLYING THE SAME

摘要

The present invention is to provide a stock price prediction method through an analysis of social data, which more reliably predicts the price of an individual stock item by applying fundamental data related with a stock market to sensibility evaluation data about a large amount of data including social data and news. To achieve the purpose as described above, the stock price prediction method in accordance with the present invention comprises: a step of collecting a plurality of first documents associated with at least one individual stock item from social media data and web data related with a stock market; a step of analyzing a morpheme of the first documents; a step of evaluating the sensitivity of the entire first documents and analyzing the entire data of the first documents by assessing the sensitivity of each keyword, extracted from the analyzed morpheme, by either positivity or negativity; a step of collecting at least one fundamental data related with a stock market using stock market peripheral data associated with an actual stock price; and a step of predicting the individual stock price by applying a value of the collected fundamental data related with a stock market to evaluation data associated with the sensitivity of the entire first documents.