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カワイ ユキコ
KAWAI YUKIKO
河合 由起子 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2012 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Diverse sentiment comparison of news websites over time |
| 執筆形態 | その他 |
| 掲載誌名 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| 出版社・発行元 | Springer |
| 巻・号・頁 | 7327,pp.434-443 |
| 著者・共著者 | Jianwei Zhang,Yukiko Kawai,Tadahiko Kumamoto,Shinsuke Nakajima,Yuhki Shiraishi |
| 概要 | Conventional pos-neg model of sentiment analysis primarily for review documents is inappropriate for news articles because of the sentiment diversity of the latter. We design three-dimension sentiments that are more suitable for the analysis of news articles. For a contentious topic, different news websites may have different sentiment tendencies and the tendencies may vary over time. To catch this feature, we construct a sentiment dictionary and develop a system that can extract news articles' sentiments, present sentiment variation over time inside a news website, and compare sentiment correlation between news websites. © 2012 Springer-Verlag. |
| DOI | 10.1007/978-3-642-30947-2_48 |
| ISSN | 0302-9743/1611-3349 |
| DBLP ID | conf/kesamsta/0002KKNS12 |
| PermalinkURL | http://dblp.uni-trier.de/db/conf/kesamsta/kesamsta2012.html#conf/kesamsta/0002KKNS12 |