Longitudinal sales responses with online reviews

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Data Mining, ICDM
Pages103-108
Publication statusPublished - 2011

Publication series

Name
ISSN (Print)1550-4786

Conference

Title11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
PlaceCanada
CityVancouver, BC
Period11 December 2011

Abstract

The longitudinal impact of online consumer reviews on hotel sales is studied. Different from previous efforts using pure ratings, this study explores the extraction and representation of consumer sentiments within review comments in an iterative approach. Initially, we define a few primary attributes as seeds to mine review patterns which are frequently used by consumers to express their sentiments. Opinion words, being used to express the specific opinions, are then discovered based on the primary attributes and the review patterns. More new attributes, opinion words and review patterns can be obtained in an iterative manner. Afterwards, each comment will be rated with a pertinent score to reflect the consumer sentiment. Both consumer ratings and sentiment ratings are used to examine the economic effect of reviews on hotel sales. Evaluations on practical hotel-booking reviews and sales data are conducted and several important findings are revealed. © 2011 IEEE.

Research Area(s)

  • Opinion mining, Sentiment analysis, Word of mouth

Citation Format(s)

Longitudinal sales responses with online reviews. / Quan, Xiaojun; Liu, Wenyin; Dou, Wenyu.

Proceedings - IEEE International Conference on Data Mining, ICDM. 2011. p. 103-108 6137367.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review