人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
特集論文「知能創発とネットワーク」
有価証券報告書からの事業セグメント付与された業績要因文・業績結果文の抽出
高野 海斗酒井 浩之北島 良三
著者情報
ジャーナル フリー

2019 年 34 巻 5 号 p. wd-A_1-22

詳細
抄録

In this research, we propose a method of extracting business segments from securities reports and extracting sentences containing causal and result information concerning business performance for each extracted business segments. For example, our method extracts“ In the aluminum rolled products business, shipments of high purity foils for aluminum electrolytic capacitors for industrial equipment and automotive use increased and sales increased. ”as a sentence containing causal information concerning business performance. Moreover, our method estimates that the sentence belongs to business segment“ aluminum ”. Our method extracts“ As a result of this segment sales in this segment were 105,439 million yen, operating profit was 6,697 million yen. ”as a sentences containing performance result information belong to“aluminum”segment. We evaluated our method and the method of extracting sentences containing causal information attained 69.3% precision and 72.5% recall, and the method of extracting sentences containing performance result information attained 78.8% precision and 91.1% recall.

著者関連情報
© 人工知能学会 2019
前の記事 次の記事
feedback
Top