文献类型：期刊文献

英文题名：Emotional characteristics and time series analysis of Internet public opinion participants based on emotional feature words

作者：Jia, Fengzhen[1];Chen, Chun-Chun[2]

第一作者：Jia, Fengzhen

通讯作者：Chen, CC[1]

机构：[1]Xijing Univ, Marxist Acad, Xian, Shaanxi, Peoples R China;[2]Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China

第一机构：Xijing Univ, Marxist Acad, Xian, Shaanxi, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2020

卷号：17

期号：1

外文期刊名：INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS

收录：;EI(收录号：20201108284482);Scopus(收录号：2-s2.0-85081178353);WOS:【SSCI(收录号:WOS:000515810900001)，SCI-EXPANDED(收录号:WOS:000515810900001)】；

基金：The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the key project of the National Social Science Fund of China "Research on the shock of artificial intelligence on labor market and the response to the transformation of workers' knowledge and skills" [Grant No. 19AGL025].

语种：英文

外文关键词：Network public opinion; emotional classification dictionary; weight calculation; public opinion evolution

摘要：In recent years, with the rapid development and wide application of the Internet, it has become the main place for the generation and dissemination of public opinion. To grasp the information of network public opinion in a timely and comprehensive way can not only effectively prevent sudden network malignant events but also provide a reference for the scientific and democratic decision-making of government departments. Therefore, in view of the practical application needs, this article studies the emotional characteristics and the evolution of public opinion over time based on the emotional feature words of network public opinion participants. Firstly, the positive and negative emotional lexicon of HowNet emotional dictionary is used, and the commonly used emotional lexicon and expression symbols are added to the lexicon. At the same time, the polarity annotation method of Chinese emotional lexicon ontology is used to construct the emotional lexicon of this article. Secondly, considering other emotional polarity characteristics in the dictionary, an emotional tendency analysis model is proposed. In this article, emotional analysis is applied to the evolution analysis of network public opinion, and the change of network public opinion characteristics with time series is obtained. The simulation results show that the emotional dictionary constructed in this article and the proposed model of emotional orientation analysis can effectively analyze the emotional characteristics of network public opinion participants and apply emotional analysis to the evolution analysis of network public opinion, which can get the change of emotional characteristics of public opinion participants with time series.