Opinion mining of customer feedback data on the web
Opinion mining of customer feedback data on the web
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DOI：
10.1145/1352793.1352842
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发表时间：
2008-01
期刊：
影响因子：
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通讯作者：
Dongjoo Lee;O. Jeong;Sang-goo Lee
中科院分区：
文献类型：
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作者：
Dongjoo Lee;O. Jeong;Sang-goo Lee
随着人们在网上留下对他们所使用的产品和服务的意见，开发(半)自动分类和衡量它们的方法变得重要。分析这些数据的任务统称为客户反馈数据，称为意见挖掘。观点挖掘由几个步骤组成，每一步都提出了多种技术。在本文中，我们综述和分析了为观点挖掘的关键任务而开发的各种技术。在我们对这些技术的调查和分析的基础上，我们提供了一个开发意见挖掘软件系统所涉及的总体情况。
As people leave on the Web their opinions on products and services they have used, it has become important to develop methods of (semi-)automatically classifying and gauging them. The task of analyzing such data, collectively called customer feedback data, is known as opinion mining. Opinion mining consists of several steps, and multiple techniques have been proposed for each step. In this paper, we survey and analyze various techniques that have been developed for the key tasks of opinion mining. On the basis of our survey and analysis of the techniques, we provide an overall picture of what is involved in developing a software system for opinion mining.