Exploring Topic and Sentiment of Hotel Reviews

被引：0
|
作者：
Shen, Ling [1 ]
机构：
[1] Wuhan Donghu Univ, Sch Comp Sci, Wuhan, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY, MANAGEMENT AND HUMANITIES SCIENCE (ETMHS 2015) | 2015年 / 27卷
关键词：
Topic; Sentiment Lexicon; Hotel Review; Sentiment Strength;
D O I：
暂无
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
Online review can help people getting more information about products. It offers a unique proposition for sentiment analysis. In this paper, a method for automatic extracting topic and it's sentiment of hotel reviews is proposed. Our method focus on a special case which means some explicit topics is already given. The unknown topics are extracted by means of given topics. Previous studies mainly focus on the polarity of the sentiment. Furthermore, in this paper, the sentiment strength is calculated by lexicon-based approach. Empirical experiments on hotel reviews demonstrate the advantage of the proposed method.
引用
收藏
页码：1021 / 1024
页数：4
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