Presentation information

General Session

General Session » [GS] J-13 AI application

[2O3-J-13] AI application: investments

Wed. Jun 5, 2019 1:20 PM - 2:40 PM Room O (Front-left room of 1F Exhibition hall)

Chair:Takanobu Mizuta Reviewer:Shinobu Hasegawa

2:20 PM - 2:40 PM

[2O3-J-13-04] Construction of Causal Networks for Risk Finding Considering Word Polarities

〇Hiroaki IGARASHI Igarashi1, Hiroki Sakaji1, Kiyoshi Izumi1, Takashi Shimada1, Shintaro Suda2 (1. the University of Tokyo, 2. Mitsubishi UFJ Trust Investment Technology Institute Co., Ltd.(MTEC))

Keywords:Causal relation, Text mining, Sentence polarity

In this research, we conduct an experiment of constructing a causal networks within settlement account briefs. We extracted the causal relations from settlement briefs, and construct a network by connecting them by judging similarities. For calculating the similarities, we use a word2vec model created from the Japanese Wikipedia corpus.We use a method based on a combination of idf values which representing importance of words. In addition, by giving the polarities of causal expression using a polar dictionary, and judgment of synonyms that word2vec can't detect, we define so to speak, "negative relation".