人工知能学会論文誌
Online ISSN : 1346-8030
Print ISSN : 1346-0714
ISSN-L : 1346-0714
原著論文
インターネット株式掲示板の投稿内容分析に基づくファクターモデル構築の可能性
諏訪 博彦梅原 英一太田 敏澄
著者情報
ジャーナル フリー

2012 年 27 巻 6 号 p. 376-383

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抄録

We aim to develop a new factor of stock BBS postings that is different from our BMB factor. In our previous study, the contents of stock BBS postings are classified into two categories; i.e. the bullish postings and the bearish postings, and our BMB factor is based on these categories. The results of recent study suggest that the contents of stock BBS postings may be represented by employing more than one index. To develop a new factor, we use a morphological analysis and a PCA to analyze the contents of stock BBS postings. As results, we develop a new factor that based on principal component score and it represented the return of stock, and in that they are not correlated with our BMB factor.

著者関連情報
© 2012 JSAI (The Japanese Society for Artificial Intelligence)
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