document: Rated aspect summarization of short comments 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 .
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