TY  - CONF
ID  - www200914
UR  - http://www2009.eprints.org/14/
A1  - Lu, Yue
A1  - Zhai, ChengXiang
A1  - Sundaresan, Neel
Y1  - 2009/04//
N2  - 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 de?ne 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.
TI  - Rated Aspect Summarization of Short Comments
SP  - 131
M2  - Madrid, Spain
AV  - public
EP  - 131
T2  - 18th International World Wide Web Conference
ER  -