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Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews
Joint Authors
Afzaal, Muhammad
Usman, Muhammad
Fong, A. C. M.
Zhuang, Yan
Fong, Simon
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-31
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Due to the large amount of opinions available on the websites, tourists are often overwhelmed with information and find it extremely difficult to use the available information to make a decision about the tourist places to visit.
A number of opinion mining methods have been proposed in the past to identify and classify an opinion into positive or negative.
Recently, aspect based opinion mining has been introduced which targets the various aspects present in the opinion text.
A number of existing aspect based opinion classification methods are available in the literature but very limited research work has targeted the automatic aspect identification and extraction of implicit, infrequent, and coreferential aspects.
Aspect based classification suffers from the presence of irrelevant sentences in a typical user review.
Such sentences make the data noisy and degrade the classification accuracy of the machine learning algorithms.
This paper presents a fuzzy aspect based opinion classification system which efficiently extracts aspects from user opinions and perform near to accurate classification.
We conducted experiments on real world datasets to evaluate the effectiveness of our proposed system.
Experimental results prove that the proposed system not only is effective in aspect extraction but also improves the classification accuracy.
American Psychological Association (APA)
Afzaal, Muhammad& Usman, Muhammad& Fong, A. C. M.& Fong, Simon& Zhuang, Yan. 2016. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
Modern Language Association (MLA)
Afzaal, Muhammad…[et al.]. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
American Medical Association (AMA)
Afzaal, Muhammad& Usman, Muhammad& Fong, A. C. M.& Fong, Simon& Zhuang, Yan. Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews. Advances in Fuzzy Systems. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1095070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095070