Topic-driven reader comments summarization

Readers of a news article often read its comments contributed by other readers. By reading comments, readers obtain not only complementary information about this news article but also the opinions from other readers. However, the existing ranking mechanisms for comments (e.g., by recency or by user...

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書目詳細資料
Main Authors: Ma, Zongyang, Sun, Aixin, Yuan, Quan, Cong, Gao
其他作者: School of Computer Engineering
格式: Conference or Workshop Item
語言:English
出版: 2013
在線閱讀:https://hdl.handle.net/10356/97966
http://hdl.handle.net/10220/12257
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