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机构地区:[1]南京政治学院上海校区军事信息管理系,上海200433
出 处:《图书情报导刊》2016年第2期139-143,共5页Journal of Library and Information Science
摘 要:概述了网络舆情内容分析的流程以及内容分析阶段需要完成的工作,详细介绍了基于知识技术的网络舆情内容分析系统框架的构建路径,即将知识技术引入网络舆情内容的分析过程,将信息预处理、信息聚类和分类、倾向性分析等关键技术手段与知识组织、知识表示、知识获取和知识挖掘等相关成果充分融合,将本体论和语义计算等技术与舆情分析相结合,建立基于知识技术的网络舆情内容分析框架,以提高网络舆情内容分析的准确度。实验结果表明,基于知识技术的网络舆情内容分析系统达到了理想效果。This paper expounds the process of network public opinion content analysis and some works needed to be completed in content analysis phase, introduces in detail the paths for the construction of the framework of network public opinion content analysis system based on knowledge technology, that is to introduces the knowledge technology into the network public opinion content analysis process, to make a full integration of the key technologies such as the information pre-processing, information clustering and classifying, and orientation analysis, etc. with the related results such as the knowledge organization, knowledge representation, knowledge acquisition, and knowledge mining, etc. and to combine the ontology and semantic computing with public opinion analysis, establishing a framework of the network public opinion content analysis based on knowledge technology to improve the accuracy of network public opinion content analysis. The experimental results show that the network public opinion content analysis system achieves its ideal effect.
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