[1P1] [General Session] 3. Data Mining

[1P1-04] Creation of Causal Relation Network using Semantic Similarity

〇kohei nishimura¹, Hiroki Sakaji², Kiyoshi Izumi² (1. Department of Systems Innovation, Faculty of Engineering, The University of Tokyo, 2. Graduate School of Engineering, The University of Tokyo)

Keywords:Causal relations, Causal Network

Visualizing chains of Economic events and Financial matters including background eventsfrom text data is useful for investors and manager to understand Economic events and Financial matters properly. However, extracting chains of Economic events and Financial matters manually takes a lot of time. Therefore, we treat chains of Economic events and Financial matters as chains of causal relations (we call them Causal Network) and propose the procedure creating causal network using vectors similarity which represent semantic similarities between expressions of Economic events and Financial matters.