Proceedings:
Proceedings of the International AAAI Conference on Web and Social Media, 5
Volume
Issue:
Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media
Track:
Poster Papers
Downloads:
Abstract:
User-contributed comments are one of the hallmarks of the Social Web, widely adopted across social media sites and mainstream news providers alike. While comments encourage higher-levels of user engagement with online media, their wide success places new burdens on users to process and assimilate the perspectives of a huge number of user-contributed perspectives. Toward overcoming this problem we study in this paper the comment summarization problem: for a set of n user-contributed comments associated with an online resource, select the best top-k comments for summarization. In this paper we propose (i) a clustering-based approach for identifying correlated groups of comments; and (ii) a precedence-based ranking framework for automatically selecting informative user-contributed comments. We find that in combination, these two salient features yield promising results.
DOI:
10.1609/icwsm.v5i1.14192
ICWSM
Vol. 5 No. 1 (2011): Fifth International AAAI Conference on Weblogs and Social Media