: This study analyses the relationship between textual information and financial markets in Japan, focusing on headline News, a source of information that has immediate influence on the money market, and also which is regarded as an important source of information when making investment decisions. In particular we propose the objective way to estimate news articles’ negativepositve by using mechine learning and statistics.
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