14
5
archive
disk0/00/00/00/14
2009-04-06 19:08:49
2009-04-14 04:37:05
2009-04-06 19:08:49
conference_item
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0
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Lu
Yue
University of Illinois at Urbana-Champaign
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Zhai
ChengXiang
University of Illinois at Urbana-Champaign
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Sundaresan
Neel
eBay Research Laboratories
Rated Aspect Summarization of Short Comments
pub
public
paper
Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses the need and challenge of automatic summarization. In many cases, each of the user-generated short comments comes with an overall rating. In this paper, we study the problem of generating a “rated aspect summary” of short comments, which is a decomposed view of the overall ratings for the major aspects so that a user could gain different perspectives towards the target entity. We formally define the problem and decompose the solution into three steps. We demonstrate the effectiveness of our methods by using eBay sellers’ feedback comments. We also quantitatively evaluate each step of our methods and study how well human agree on such a summarization task. The proposed methods are quite general and can be used to generate rated aspect summary automatically given any collection of short comments each associated with an overall rating.
2009-04
131-131
18th International World Wide Web Conference
Madrid, Spain
April 20th-24th, 2009
conference
TRUE
14
4
14
1
application/pdf
en
public
p131.pdf
published
p131.pdf
1343094
http://www2009.eprints.org/14/1/p131.pdf