LDA算法在微博热搜可视化中的应用  

An Application of LDA Algorithm in Weibo Hot Search Visualization

作　　者：杜宇灏 林晓霞[1] 李环宇[1] 徐燕妮[1] DU Yuhao;LIN Xiaoxia;LI Huanyu;XU Yanni(Intelligent Equipment College,Shandong University of Science&Technology,Taian,China,271000)

机构地区：[1]山东科技大学智能装备学院,山东泰安271000

出　　处：《福建电脑》2023年第12期15-19,共5页Journal of Fujian Computer

基　　金：山东科技大学优秀教学团队支持计划(数据库教学团队No.JXTD20190509)资助。

摘　　要：为了便于政府部门及时了解网民对社会热点问题的关注情况,更好把握舆论风向,本文提出了以LDA算法为核心,基于flask框架的微博热搜可视化系统。系统的设计与实现主要分为三个模块:数据爬取、数据处理与分析、数据可视化呈现。数据处理与分析模块采用LDA算法和SnowNLP情感分析技术。数据可视化呈现模块应用Flask框架搭建Web端可视化界面,从而将分析结果转化为图表的形式。实际应用的结果表明,该系统能够满足用户对热门话题的了解需求,并有望对相关1领域的研究和决策提供参考。In order to facilitate government departments to timely understand the attention of netizens to social hot issues and better grasp the direction of public opinion,this article proposes a Weibo hot search visualization system based on the Flask framework,with the LDA algorithm as the core.The design and implementation of the system are mainly divided into three modules:data crawling,data processing and analysis,and data visualization presentation.The data processing and analysis module adopts LDA algorithm and SnowNLP sentiment analysis technology.The data visualization presentation module applies the Flask framework to build a web-based visualization interface,thereby converting the analysis results into chart form.The practical application results indicate that the system can meet users'needs for understanding hot topics and is expected to provide reference for research and decision-making in related fields.

关 键 词：LDA算法 网络舆情 可视化 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]