摘要
为词源,借助TF-IDF方法提取关键词并对关键词进行共词分析。结果显示,目前国内网络舆情情感研究热点包括对舆情信息内容进行情感分析,对情感分析技术进行改进和创新,对舆情传播过程中的各个要素进行情感分析等方面。所使用的共词分析方法可以反映单个关键词的热门程度,对网络舆情的科学分析和有效应对提供了理论指导,具有重要的参考价值。
The article takes the papers about sentiment analysis of Internet public opinion in CNKI as the data source,firstly,key words are extracted by means of TF-IDF from abstract.Then,after the normalization of key words,co-word analysis is carried out.According to the results of co-occurrence analysis,the article discusses the hotspots analysis of sentiment research on Internet public opinion from three aspects,including the content,technology,and public opinion communication elements.The co-word analysis method used in this paper can reflect the popularity of a single keyword.This study provides theoretical guidance for scientific analysis and effective response of online public opinion,and has important reference value.
作者
张杨
廉吉庆
张扬
高德毅
Zhang Yang;Lian Jiqing;Zhang Yang;Gao Deyi(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China;Department of Printing and Packaging Engineering,Shanghai Publishing and Printing College,Shanghai 200093,China;Committee for Foreign Affairs of Shanghai Municipal People′s Congress,Shanghai 200003,China)
出处
《网络安全与数据治理》
2022年第7期47-55,共9页
CYBER SECURITY AND DATA GOVERNANCE
基金
上海市晨光计划(20CGB07)
上海市高校青年教师培养资助计划(ZZSPPC21002)。
关键词
网络舆情
情感分析
共词分析
TF-IDF
热点分析
Internet public opinion
sentiment research
co-occurrence analysis
TF-IDF
hotspots analysis
