Paper Info
Title
Opinion mining and fuzzy quantification in hotel reviews
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.
Year
DOI
Venue
2016
10.1109/ISNCC.2016.7746066
2016 International Symposium on Networks, Computers and Communications (ISNCC)
Keywords
Field
DocType
Fuzzy quantified sentences,fuzzy sets,opinion mining,sentiment analysis
Expression (mathematics),Information retrieval,Sentiment analysis,Computer science,Fuzzy logic,Fuzzy set,Degree of truth
Conference
ISBN
Citations 
PageRank 
978-1-5090-0285-6
0
0.34
References 
Authors
20
3
Name
Order
Citations
PageRank
Betul Dundar100.68
Suat Ozdemir235026.30
Diyar Akay350519.87