Topic-based sentiment analysis of hotel reviews

被引：10
作者：
Gharzouli, Mohamed [1 ]
Hamama, Aimen Khalil [2 ]
Khattabi, Zakaria [2 ]
机构：
[1] Abdelhamid Mehri Constantine 2 Univ, MISC Lab, Constantine, Algeria
[2] Abdelhamid Mehri Constantine 2 Univ, Dept Fundamental Informat, Fac NTIC, Constantine, Algeria
来源：
CURRENT ISSUES IN TOURISM | 2022年 / 25卷 / 09期
关键词：
Word tree; sentiment analysis; hotel reviews; opinion mining; data analysis; HOSPITALITY;
D O I：
10.1080/13683500.2021.1940107
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We developed a system for sentiment analysis of hotel reviews. The system uses topics to give accurate reports related to some qualities specified by the end-user. This system permits users to evaluate a given hotel services quality according to multiple criteria. Besides, a user can make different detailed comparisons between hotels. To achieve this goal, the proposed system decomposes complex opinions into sub-comments to extract the specified concept. Further, it translates non-English comments into the English language. After having tested the system by using two datasets, the obtained results are judged to be satisfactory.
引用
收藏
页码：1368 / 1375
页数：8
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