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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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| 発行・発表の年月 | 2014 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 標題 | Comprehensive Web search based on sentiment features |
| 執筆形態 | その他 |
| 掲載誌名 | Lecture Notes in Engineering and Computer Science |
| 巻・号・頁 | 2209(January),483-488頁 |
| 著者・共著者 | Katsutoshi Minami,Shoko Wakamiya,Noriaki Hata,Yukiko Kawai,Tadahiko Kumamoto,Jianwei Zhang,Yuhki Shiraishi |
| 概要 | We have developed a novel system for comprehensive Web search considered the diversity of sentiments. Recently, lots of studies and services based on sentiment analysis have been conducted, because it is still difficult to search and summarize information satisfying users' needs by text analysis only. In this paper, we propose a method to extract multidimensional sentiments of Web pages on a topic such as "Happy⇔Sad," "Glad⇔Angry," and "Peaceful⇔Strained." Specifically, the system can extract common sentiments for a topic and also retrieve and present various Web pages based on comprehensive sentiments. In the experiment, we evaluate our proposed method using the developed system. |
| ISSN | 2078-0958 |