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  1. University of Computer Studies, Yangon
  2. Conferences

Feature-based Ranking of Opinion Mining System from Customer Reviews

http://hdl.handle.net/20.500.12678/0000004863
http://hdl.handle.net/20.500.12678/0000004863
fb0ca5f1-e76d-44b7-a4b1-faf68bbf1976
a0764f8f-d0db-457b-baeb-1115c48e89d3
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12015.pdf 12015.pdf (91 Kb)
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Publication
Title
Title Feature-based Ranking of Opinion Mining System from Customer Reviews
Language en
Publication date 2014-02-17
Authors
Thein, Thin Lai Lai
Nyaung, Dim En
Description
Nowadays, online customer reviews become asignificant informative resource due to the rapiddevelopment of web. In a webpage, the reviews arewritten in natural language and are unstructuredfree-texts scheme. To overcome the task of manuallyscanning through large amount of review one by one,people have interested to automatically process thevarious reviews and to provide the necessaryinformation which is useful for both potentialcustomers and product manufactures, in a suitableform. By applying dependency relations andontological knowledge, it can properly identify thesemantic relationships between product features andopinions. It also finds the numeric score of all thefeatures using SentiWordNet. The proposed systemcan specify the features in descending order ofimportance. We offer an approach for considering analternative approach to discover the customeropinion about tourism products, particularly hotels,using opinions available on the Web as reviews.
Keywords
Opinion Mining, Feature-based Ranking, SentiWordNet
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/76
Journal articles
Twelfth International Conference On Computer Applications (ICCA 2014)
Conference papers
Books/reports/chapters
Thesis/dissertations
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