Summarization of Stock Market Investment News Articles For Stock Traders

Abstract

Abstract Stock market word itself is something powerful in the Finance world. Field which is used to generate more profit for the organization and individuals. Movement of the stock market can be predicted using different factors such as past stock numeric data, stocktwits, company's portfolio, financial news articles etc. There are researches that were carried using stock numeric data to predict the movement of stock, but only numeric data itself is not possible to predict the movement without the real time information about the organization. If we want to gain real time information about the organization, we must gather information from the financial news articles. Stock traders aren't able to read many news articles within a small time to gain more information unless it is in the summarized form. If traders can read a lot they will get a lot of information and profit gaining may increase. To make the traders read many articles, we need to provide the summarization tool that gives the summary of the significant contents needed for the stock traders. So we carried out this research to identify how far the summarization of stock market news articles will be helpful for the stock traders to carry out their trading activities. We carried this research by collecting news articles from the popular websites and collecting keywords which are used by the stock traders to read the news articles, then pre processing was done on the news articles , then sentences were weighted based on the keywords and the graph analysis is performed to retrieve the salient sentences for the stock traders from the news articles. Generated summary was compared with the summary of the domain experts summary for the corresponding article. Accuracy of the model was more than 55% for every article. So can conclude that summarization of stock market news articles is helpful for the stock traders to carry out their trading activities We believe that, this is the first time, the summarization techniques have been applied specifically in the stock market investment news articles in such a way it is helpful for the stock traders to carry out their trading activities.