人工知能学会第二種研究会資料
Online ISSN : 2436-5556
第24回金融情報学研究会
株式・債券・為替ごとの金融極性辞書の自動構築
伊藤 友助酒井 浩之北島 良三末廣 徹稲垣 真太郎木村 柚里
著者情報
研究報告書・技術報告書 フリー

2020 年 2020 巻 FIN-024 号 p. 211-

詳細
抄録

In this paper, we propose a method of retrieving expressions and constructing financial sentiment lexicons on stock, bond and exchange. Retrieved phrases are distinctive words in each financial market and extensions of these words. For example, the sentiment of the word "increase" in the financial sentiment lexicons cannot be determined by merely looking at the word itself. However, we can determine sentiment by considering the relation between preceding and subsequent words, such as "increased consumption" and "increase in costs". In addition, it is necessary that the expression such as "cause inflation" determines appropriate sentiment on stock, bond and exchange. We acquire automatically these expressions, and we construct appropriate financial sentiment lexicons by stock, bond and exchange.

著者関連情報
© 2020 著作者
前の記事 次の記事
feedback
Top