Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling-Reference-Cited by-同舟云学术

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Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling

Published:2017-04 Issue: Volume:77 Page:33-48
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Ali Farman,Kwak Daehan,Khan Pervez,Islam S.M. Riazul,Kim Kye Hyun,Kwak K.S.

Funder

Ministry of Land, Infrastructure, and Transport of the Korean government

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference43 articles.

1. Opinion mining based on fuzzy domain ontology and support vector machine: a proposal to automate online review classification;Ali;Appl. Soft Comput.,2016

2. Type-2 fuzzy ontology-based opinion mining and information extraction: a proposal to automate the hotel reservation system;Ali;Appl. Intell.,2015

3. Type-2 fuzzy ontology-based semantic knowledge for collision avoidance of autonomous underwater vehicles;Ali;Inform. Sci.,2015

4. Fuzzy domain ontology-based opinion mining for transportation network monitoring and city features map;Ali;J. Korea Inst. Intell. Transp. Syst.,2016

5. Semantic and fuzzy aspects of opinion mining;Al-Maimani;J. Theor. Appl. Inform. Technol.,2014

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