Opinion mining and fuzzy quantification in hotel reviews

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

In this study, fuzzy quantification sentences are used to create short summaries from hotel reviews. Also, opinion mining is used to extract opinion expressions from reviews. Fuzzy quantified sentences offer a brief information about the hotel attributes from customers feedback. These sentences are generated considering one type of fuzzy sets (triangular) using 3 types of quantifiers ('most', 'about half' or 'a few'). The degree of truth of generated summaries is calculated according to occurrence of attributes and opinions. Opinion mining extracts positive, negative and neutral emoticons from reviews. The extracted opinions and short fuzzy quantified sentences have the characteristics of presenting novel ideas for hotel recommendation.

Original languageEnglish
Title of host publication2016 International Symposium on Networks, Computers and Communications, ISNCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509002832
DOIs
Publication statusPublished - 16 Nov 2016
Externally publishedYes
Event2016 International Symposium on Networks, Computers and Communications, ISNCC 2016 - Yasmine Hammamet, Tunisia
Duration: 11 May 201613 May 2016

Publication series

Name2016 International Symposium on Networks, Computers and Communications, ISNCC 2016

Conference

Conference2016 International Symposium on Networks, Computers and Communications, ISNCC 2016
Country/TerritoryTunisia
CityYasmine Hammamet
Period11/05/1613/05/16

Keywords

  • Fuzzy quantified sentences
  • fuzzy sets
  • opinion mining
  • sentiment analysis

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