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.
引用
收藏
页数：4
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