摘要
互联网技术的发展加快了新闻的传播速度,拓展了新闻传播范围,也为新闻广播行业的发展带来了挑战。面对互联网每日产生的海量信息,大数据技术的应用有助于媒体工作人员从众多数据信息中发现新闻热点、舆论倾向,从而确定新闻选题,满足不同受众群体的需求。对此,文章基于大数据技术对数据处理流程以及新闻广播对大数据技术的需求分析,从数据采集、数据预处理以及数据分析三方面提出构建新闻广播热点舆情分析系统的设计方案,实现热点及舆情分析结果可视化,以推动新闻广播业发展。
The development of Internet technology has accelerated the speed of news dissemination, expanded the scope of news dissemination, and also brought challenges to the development of the news broadcasting industry. In the face of the massive amount of information generated by the Internet every day, the application of big data technology helps media workers find news hot spots and public opinion trends from a large number of data information, so as to determine the topic of news and meet the needs of different audience groups. Based on the analysis of the data processing flow of big data technology and the demand of news broadcasting for big data technology, this paper puts forward the design scheme of building a news broadcasting hot public opinion analysis system from three aspects: data collection, data preprocessing and data analysis, so as to realize the visualization of hot spots and public opinion emotion analysis results and promote the development of news broadcasting industry.
作者
杨振宇
YANG Zhenyu(Henan Vocational College of industry and information technology,Jiaozuo 454000,China)
出处
《电声技术》
2022年第6期112-115,共4页
Audio Engineering
基金
2022年焦作市社科联课题(No.焦社科联2022-6)。
关键词
大数据
新闻广播
热点发现
舆情分析
big data
news broadcast
hotspot discovery
public opinion analysis
