Sentiment Analysis on Chinese Hotel Reviews with Doc2Vec and Classifiers

被引：0

作者：

Shuai, Qianjun ^{[1
]}

Huang, Yamei ^{[1
]}

Jin, Libiao ^{[1
]}

Pang, Long ^{[1
]}

机构：

[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018) | 2018年

关键词：

sentiment analysis; Doc2vec; machine learning; classifier;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Text data expands over the Internet almost every day, and extracting information effectively from these text data is hard. However these information will play an important role for consumers in making decisions. In this paper, we carry out sentiment analysis on the hotel reviews obtained from websites using Doc2vec tool and machine learning algorithms such as Support Vector Machine, Logistic Regression and Naive Bayes. The performance of these classification algorithms is evaluated on the precision, recall rate, and F-measure.

引用

页码：1171 / 1174

页数：4

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