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We provided an overall picture of the tasks and techniques involved in developing an automated system for mining opinions that are found in customer feedback data on the Web

Opinion mining of customer feedback data on the web

ICUIMC, pp.230-235, (2008)

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摘要

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 ...更多

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简介
  • Individual users are participating more actively and are generating vast amount of new data
  • These new Web contents include customer reviews and blogs that express opinions on products and services – which are collectively referred to as customer feedback data on the Web. As customer feedback on the Web influences other customer’s decisions, these feedbacks have become an important source of information for businesses to take into account when developing marketing and product development plans.
重点内容
  • The World Wide Web is growing at an alarming rate in size and in the types of services and contents provided.

    Individual users are participating more actively and are generating vast amount of new data
  • We examine the two tasks that are specific to opinion mining: development of linguistic resources and sentiment classification
  • Section 4 explains about sentiment classification methods and in section 5, we introduce opinion summarization by examining several opinion mining systems that have been developed
  • We provided an overall picture of the tasks and techniques involved in developing an automated system for mining opinions that are found in customer feedback data on the Web
  • We focused on surveying and analyzing the methods for development of linguistic resources, sentiment classification, and opinion summarization
  • Red Opal is a system for scoring product features from customer reviews [19]
方法
  • Methods in Natural Language

    Processing - Volume 10

    Annual Meeting of the ACL. Association for Computational

    Linguistics, Morristown, NJ, 79-86.

    [7] Hatzivassiloglou, V. and McKeown, K.
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  • Association for Computational.
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  • Eighth Conference on European Chapter of the Association for Computational Linguistics (Madrid, Spain, July 07 - 12, 1997).
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  • Association for Computational Linguistics, Morristown, NJ, 174-181.
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结果
  • Appraisal in English.
  • London, 2005.
  • [15] Miller, G., Beckwith, R, Fellbaum, C., Gross, D., and Miler,
结论
  • Red Opal is a system for scoring product features from customer reviews [19].
  • It uses frequent nouns and noun phrases for feature extraction, and assigns sentiment based on star ratings.
  • Each result is shown with a Web-based interface by descending order for each feature and the confidence of the score
表格
  • Table1: Characteristics of the six systems for opinion summarization
Download tables as Excel
基金
  • This study was supported by the Ministry of Information &
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