现代信息科技2025，Vol.9Issue(5)：95-98,104,5.DOI:10.19850/j.cnki.2096-4706.2025.05.017
构建基于模糊聚类算法的网络情绪动态分析系统
Constructing a Network Emotion Dynamic Analysis System Based on Fuzzy Clustering Algorithm
摘要
Abstract
The research of network emotion dynamic analysis can be realized by analyzing the emotional semantic expression in the network text.To construct a network emotion dynamic analysis system based on Fuzzy C-Means algorithm,it is necessary to use crawler software to obtain the text data of individuals or groups on social networks based on the emotional semantic template.Based on the numerical processing of emotional state,the Fuzzy C-Means(FCM)algorithm is used to cluster the emotional state,and the emotional state and its change trend of netizens are identified according to the clustering results.The system consists of emotional semantic template generation module,data acquisition module,data preprocessing module and fuzzy clustering analysis module,which can provide decision support for social management and crisis intervention.关键词
模糊聚类算法/标准分/网络情绪/动态分析Key words
Fuzzy C-Means algorithm/standard score/network emotion/dynamic analysis分类
信息技术与安全科学引用本文复制引用
薛淼,段立娟..构建基于模糊聚类算法的网络情绪动态分析系统[J].现代信息科技,2025,9(5):95-98,104,5.
