Research on Online Public Opinions Analysis Based on Ontology for Network Community

被引：0

作者：

Jin, Xin ^{[1
]}

Zhao, Wei ^{[1
]}

机构：

[1] ChaoYang District, BeiYuan Rd 178 9-4-718, Beijing 100101, Peoples R China

来源：

EMERGING RESEARCH IN WEB INFORMATION SYSTEMS AND MINING | 2011年 / 238卷

关键词：

Ontology; Online Public Opinion; Classification;

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：

According to the requirement of online public opinion analysis, this paper builds an online public opinions extraction and analysis mechanism based on ontology. It builds public opinions' topics classification index system based ontology with which we can discuss and analyze how and what the netizen want to do. After analyzing the classification of the opinions, we can focus more on major opinions and response immediately. In this paper, we discuss how to building an ontology to classify the different opinions from lots of posters in network community, and we analyze the opinions about Yushu Earthquake information as an sample to discuss the classification result of public opinions further.

引用

页码：275 / +

页数：2