基于领域本体的舆情话题分类研究

Research on the Classification of Public Opinion Based on Domain Ontology

由于网络的迅猛发展,当今社会人人都离不开网络,并且将自己的想法和情绪都发布到网络上,既有积极正面的内容,也有消极负面的内容。在开放直接的网络平台上,所有的网络舆论对人们的意识形态的影响非常大,因此,对舆情话题的分析和管理成为当前网络舆情工作的重要任务。本文通过构建情感领域本体来对舆情话题进行分析并分类,得出情感状态并提交给管理者,来掌握民情民意,以便引导社会的健康稳定地发展。

In today＇s society, with the rapid development of the network, no one can live without network, and every-one wants to express their thoughts and emotions, both positive and positive, on Internet. In the open network plat-form, the online public opinion has a huge impact on people＇s ideology, so the analysis and management of public opinion topics becomes an important task of the current network public opinion. In this paper, we construct the emo-tional domain ontology to analyze and classify the public opinion topic, and get the emotional state and submit it to the managers to grasp the public opinion so as to guide the healthy.