Determination of the Most Important Causal Expression Extracted from Articles Concerning Business Performance of Companies

Abstract

We introduce a method of extracting causal information (e.g., Demand for semi conductor manufacturing equipments is good ) from Japanese financial articles concerning business performance of companies. Causal information is useful for investors in selecting companies to invest. Our method automatically extracts causal information as a form of causal expression by using statistical information and initial clue expressions. We extract keywords from Web sites of companies and improve the previous method by using them. Moreover, our method automatically determines the most important causal expression by using these keywords extracted from Web sites of companies.