- 著者
- Kohei NISHIMURA Hiroki SAKAJI Kiyoshi IZUMI
- 出版者
- 一般社団法人 人工知能学会
- 雑誌
- 人工知能学会全国大会論文集 第32回 (2018)
- 巻号頁・発行日
- pp.1P104, 2018 (Released:2018-07-30)
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.