Ontology based combined approach for Sentiment Classification

被引：0
|
作者：
Shein, Khin Phyu Phyu [1 ]
机构：
[1] Natl Inst Stand & Technol, Boulder, CO 80305 USA
来源：
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND INFORMATION TECHNOLOGY | 2009年
关键词：
ontology using formal concept analysis design; opinion mining; part of speech tagging; sentiment analysis; support vector machine;
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 documents contain opinions or sentiments about the objects, such as movie reviews, book reviews, and product reviews etc. Sentiment analysis is the mining the sentiment or opinion words and identification and analysis of the opinion and arguments in the text. In this paper, we proposed an ontology based combination approach to enhance the exits approaches of sentiment classifications and use supervised learning techniques for classifications.
引用
收藏
页码：112 / +
页数：2
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