Analysis of the effect of Headline News in financial market through text categorisation
International Journal of Computer Applications in Technology
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This research analysed the relationship between headlines in the news and the stock market in Japan through text mining technology. As a result of intensive analyses, we found a significant relationship between the stock index return changes and the negative or positive news classified by keywords. At the same time, we also found that the measure of constructing a keyword list has a significant impact on the performance of this classification.