Multi-facets quality assessment of online opinionated expressions

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationWeb Information Systems Engineering - WISE 2010 Workshops
Subtitle of host publicationWISE 2010 International Symposium WISS and International Workshops CISE, MBC, Revised Selected Papers
PublisherSpringer Verlag
Pages212-225
Volume6724 LNCS
ISBN (Print)9783642243950
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6724 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

TitleWorkshops on Web Information Systems Engineering, WISE 2010: 1st International Symposium on Web Intelligent Systems and Services, WISS 2010, 2nd International Workshop on Mobile Business Collaboration, MBC 2010 and 1st Int. Workshop on CISE 2010
PlaceChina
CityHong Kong
Period12 - 14 December 2010

Abstract

In the Web 2.0 era, there has been an explosive growth of user-contributed data on the Web. Among the user-contributed data, the sheer volume of online reviews (or comments) provide enterprise with invaluable market intelligence about potential customers' preferences for various products and services. However, there has been growing concerns about the quality of these uncontrolled user-contributed online reviews. Despite numerous research work has been conducted on opinion mining and opinion retrieval, little work has been done to develop effective quality metrics to assess the quality of opinionated expressions. To discover rich and accurate business intelligence from online opinionated expressions, an objective quality-based filtering process is essential for any opinion mining systems. The main contribution of this paper is the design, development, and evaluation of a novel multi-facet quality metric for the assessment of the informativeness of opinionated expressions such as online product reviews. Our preliminary experiments show that the proposed multi-facets quality metric is more effective than a quality assessment approach constructed based on user-generated helpful votes. © 2011 Springer-Verlag.

Citation Format(s)

Multi-facets quality assessment of online opinionated expressions. / Lau, Raymond Y. K.; Zhang, Wenping; Xia, Yunqing et al.
Web Information Systems Engineering - WISE 2010 Workshops: WISE 2010 International Symposium WISS and International Workshops CISE, MBC, Revised Selected Papers. Vol. 6724 LNCS Springer Verlag, 2011. p. 212-225 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6724 LNCS).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review