基于大数据的网络舆情分析模型研究  

Research and Analysis of Big Data-Based Online Public Sentiment Analysis Models

作　　者：周颖[1] Zhou Ying(Jiangxi Police College,Nanchang 330029,Jiangxi Province,China)

机构地区：[1]江西警察学院,江西南昌330029

出　　处：《科学与信息化》2025年第4期76-78,共3页Technology and Information

基　　金：2022年江西省高校人文项目,项目名称:基于大数据的网络舆情语义分析模型研究,项目编号:SH22107。

摘　　要：5G时代网络信息具有“多元化、隐晦化、复杂化”的特点,需要探究网络舆情分析方式。本文以多元信息的舆情采集降维、舆情信息的语义深度分析、网络舆情的智能预警提示等基本逻辑,为不同信息技术的嵌入提供了参考,有效解决了网络舆情中视频、图片等新形式的信息处理困难问题,并为深入了解公众舆情情感创造了良好的技术条件,有效缓解了舆情监管人员和部门的工作压力,进一步实现了网络舆情信息的智能化分析。In the 5G era,online information is characterized by“diversity,obscurity,and complexity,”necessitating the exploration of new methods for online public sentiment analysis.This paper proposes a basic logic for public sentiment analysis,including dimensionality reduction of diverse information collection,semantic depth analysis of public sentiment information,and intelligent early warning prompts for online public sentiment.It provides references for the integration of different information technologies,effectively addressing the challenges of processing new forms of information such as videos and images in online public sentiment.The study also creates favorable technical conditions for a deeper understanding of public sentiment emotions,effectively alleviating the work pressure on public sentiment monitoring personnel and departments.The results further demonstrate the intelligent analysis of online public sentiment information.

关 键 词：大数据 网络舆情 舆情分析 系统模型 

分 类 号：G20[文化科学—传播学]