The Extraction Method of the Service Improvement Information from Guests’ Review | Zendy

Koichi Tsujii | Zendy; Yoshikatsu Fujita | Zendy; Kazuhiko Tsuda | Zendy

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The Extraction Method of the Service Improvement Information from Guests’ Review

Author(s) -

Koichi Tsujii,

Yoshikatsu Fujita,

Kazuhiko Tsuda

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.09.218

Subject(s) - computer science , reservation , accommodation , service (business) , order (exchange) , information extraction , information retrieval , world wide web , data science , marketing , computer network , economics , finance , neuroscience , business , biology

The online hotel reservation service becomes so popular that the number of transactions has been growing year by year. Before making such reservation, travelers would find it important to refer other guests’ opinions about accomodations. In those reviews, both dissatisfied and satisfied impressions used to appear in the same comments. In order to analyze this tendency, we employ text mining and investigate dissatisfied topic from their expressions. We propose some ways to extract useful information from guest review for accommodation's service improvement

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