人工知能学会第二種研究会資料
Online ISSN : 2436-5556
アナリストレポートからのアナリスト予想根拠情報の抽出と極性付与
小林 和正酒井 浩之坂地 泰紀平松 賢士
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研究報告書・技術報告書 フリー

2017 年 2017 巻 FIN-019 号 p. 65-

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In this paper, we proposed a method for supporting investors. Our method extracts basis information on analyst's forecasts from analyst reports and assigns polarity to the analyst reports. Analyst reports which are written about a company's performance or profitability by securities analysts are useful for investment but investors can only read it a little because many reports are published. Therefore, a system which judges investing by an artificial intelligence technique is required. By giving polarity to the analyst reports, the proposed method catches a slight change in performance. This ability of method is useful to judge whether investors need to read analyst reports carefully.

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