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简短评论评级方面的综述

Rated Aspect Summarization of Short Comments
课程网址: http://videolectures.net/www09_lu_rassc/  
主讲教师: Yue Lu, ChengXiang Zhai, Neel Sundaresan
开课单位: 伊利诺伊大学
开课时间: 2009-05-20
课程语种: 英语
中文简介:
Web 2.0技术使越来越多的人能够自由地对不同类型的实体(如卖方、产品、服务)进行评论。大量的信息提出了自动摘要的需要和挑战。在许多情况下,每个用户生成的简短评论都带有一个总体评分。在本文中,我们研究的问题是生成一个简短评论的“评分方面总结”,这是一个主要方面的整体评分的分解视图,以便用户可以获得对目标实体的不同视角。我们正式定义问题并将解决方案分解为三个步骤。我们使用eBay卖家的反馈意见来证明我们方法的有效性。我们也定量地评估我们的方法的每一步,并研究人类如何同意这样的总结任务。所提议的方法是相当通用的,并且可以用于生成与总体评级相关联的任何简短评论集合的方面总结。
课程简介: 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 summarization'' 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 human agree on such summarization task. The proposed methods are quite general and can be used to generate rated aspect summary given any collection of short comments each associated with an overall rating.
关 键 词: 自动文摘; 简短评论; 计算机技术
课程来源: 视频讲座网
最后编审: 2020-07-13:yumf
阅读次数: 101