Article Details

Title · Authors · Abstract · Keywords · DOI · References

Constructing a Network Emotion Dynamic Analysis System Based on Fuzzy Clustering Algorithm

XUE Miao, DUAN Lijuan

(Beijing University of Technology, Beijing 100124, China)

Section：Computer Technology · Vol. 2025, Issue 5 · Pages：95-98,104 · 2096-4706（2025）05-0095-05 · CLC number：TP391 · Document code：A · DOI：10.19850/j.cnki.2096-4706.2025.05.017

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.

Keywords

Fuzzy C-Means algorithm; standard score; network emotion; dynamic analysis

References

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About the authors

Xue Miao (2004-), female, Han ethnicity, from Linfen, Shanxi Province, undergraduate studies, research direction: software engineering; Duan Lijuan (1973-), female, Han ethnicity, from Jinzhong, Shanxi, professor, PhD, research direction: machine learning.