Multi-Language Sentiment Analysis for Hotel Reviews

被引：7
|
作者：
Sodanil, Maleerat [1 ]
机构：
[1] King Mongkuts Univ Technol North Bangkok, Fac Informat Technol, Bangkok, Thailand
来源：
2016 INTERNATIONAL CONFERENCE ON MEASUREMENT INSTRUMENTATION AND ELECTRONICS (ICMIE 2016) | 2016年 / 75卷
关键词：
D O I：
10.1051/matecconf/20167503002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Touristes and traveler use a variety of information sources (e.g. travelportals, blogs, or social networking sites like twitter) to help the mdecide for a hotel room. These sources allcontain highly subjective text that expresses the opinions of many. We took a preliminary view on user generated hotel reviews from two travel portals in English and Thai. We developed a taxonomy of features and specifically investigated how accurately they can be predicted with three classification methods. The results indicate that support vector machines perform best for this specific domain.
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页数：4
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