Estimating news articles' negative-positive from stock prices
株価を用いたニュース記事評価と学習モデル間の比較

Keiichi GOSHIMA, Hiroshi TAKAHASHI, Takao TERANO
JSAI Technical Report, Type 2 SIG  
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.
doi:10.11517/jsaisigtwo.2015.bi-002_11 fatcat:lpljw4wdjzfb7iolze2xsdewui