Opinion Mining and Fuzzy Quantification in Hotel Reviews

Dundar B., Ozdemir S., AKAY D.

International Symposium on Networks, Computers and Communications (ISNCC), Hammamet, Tunisia, 11 - 13 May 2016 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/isncc.2016.7746066
  • City: Hammamet
  • Country: Tunisia
  • Keywords: Fuzzy quantified sentences, fuzzy sets, opinion mining, sentiment analysis, DISCOVERY, RULES, MODEL

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.