Estimating news articles' negative-positive from stock prices

Abstract

This study analyses the relationship between textual information and nancial marketsin Japan, focusing on headline News, a source of information that has immediate in uence on themoney market, and also which is regarded as an important source of information when makinginvestment decisions. In particular we propose the objective way to estimate news articles' negative-positve by using mechine learning and statistics.