Analysis of Dynamic Influence Mechanism of Network Public Opinion Based on Simulation Feature Extraction. (24th May 2022)

• Record Type: Journal Article
• Authors: Zhang, Yang
• Other Names: Cai Zhiping Academic Editor.
• Is Part Of: Security and communication networks. Volume 2022(2022)
• Publication Date: 2022-05-24
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2022/8423643
• Languages: English
• ISSNs: 1939-0114

Abstract

Abstract : In order to improve the effect of network public opinion management, this paper constructs an intelligent computer network simulation model to analyze the dynamic influence mechanism of network public opinion. This paper converts semistructured text information into a form that is easy for computer analysis and recognition, which facilitates opinion extraction and sentiment analysis. Moreover, by analyzing the text content to be mined, this paper uses a specific algorithm to select different words that best represent the text to be tested as the characteristic words of network public opinion. These network public opinion feature words can classify texts, thereby reducing the complexity of text classification. The experimental study shows that the dynamic influence mechanism analysis model of network public opinion based on intelligent computer network simulation constructed in this paper has a good effect.