基于广播电视受众大数据的分析方法研究  

Research on Analysis Method of Big Data Based on Radio and TV Audience

作　　者：王靖傅 Wang Jingfu(Zhejiang Fourth Broadcasting Relay Station,Zhejiang 310016,China)

机构地区：[1]浙江省第四广播转播台,浙江310016

出　　处：《广播与电视技术》2020年第7期60-65,共6页Radio & TV Broadcast Engineering

摘　　要：在媒体融合的时代背景下,为了能充分探索海量广播电视受众数据的价值,本文基于全网爬虫、大数据、人工智能、可视化等技术,构筑了一套适合广电领域受众分析使用的大数据分析方法。分析方法主要由数据获取、数据清洗、时域与地域分析、评论分析、传播途径分析五个方面组成。通过该方法,广大内容创作者能充分挖掘受众数据的价值,为内容创作提供数据分析方面的理论支持。In order to fully explore the value of massive radio and television audience data in the era of media convergence,this paper proposes a set of big data analysis methods suitable for audience analysis in the field of radio and television based on web crawler,big data,artificial intelligence,visualization and other technologies The analysis methods consist of data acquisition,data cleaning,time and region analysis,comment analysis and dissemination path analysis.By means of these methods,general content creators can fully tap the value of audience data,which provides theoretical support for data analysis in content creation.

关 键 词：大数据 人工智能 可视化 分析方法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]