Topic-driven reader comments summarization

• Main Authors: Ma, Zongyang, Sun, Aixin, Yuan, Quan, Cong, Gao
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/97966; http://hdl.handle.net/10220/12257
• Institution: Nanyang Technological University

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...