基于数据挖掘算法的B站用户行为数据分析 计算机科学和技术专业VIP免费

基于数据挖掘算法的“B站”用户行为数据分析摘要经过多年的发展，网络视频已经成为互联网上的主要应用之一。目前，网络视频具有数量大、发布快、影响多、影响力大的特点。BililiBarrageVideoNetwork(简称B站)作为当下国内首屈一指的弹幕视频网站。对全平台的视频调查可知，B站用户创作的视频数量所占比例高达85%。而对于其中的视频创作者而言，如何在互联网繁杂的数据海洋中，进一步分析和研究热点视频则成为了研究的难题所在。本文的数据取自2020年8月的B站，其主要涉及有关生活版块的热点视频数据，并选取了大量热点词、评论等数据进行分析和研究，并最终实现了数据的可视化研究，不仅可以了解这段时间网络舆情的总体趋势，掌握用户的心理态度，加强受众的互动反馈，还可以激发用户对于B站文化探索的兴趣。关键词哔哩哔哩；用户行为分析；热点视频；ABSTRACTAfteryearsofdevelopment,onlinevideohasbecomeoneofthemainapplicationsontheInternet.Atpresent,onlinevideoshavethecharacteristicsoflargequantity,quickrelease,largeinfluenceandgreatinfluence.BililiBarrageVideoNetwork(abbreviatedasStationB)iscurrentlytheleadingbarragevideowebsiteinChina.Accordingtothevideosurveyonthewholeplatform,theproportionofvideoscreatedbyusersofstationBisashighas85%.Forthevideocreatorsamongthem,howtofurtheranalyzeandstudyhotvideosinthecomplexdataoceanoftheInternethasbecomeadifficultresearchproblem.ThedatainthisarticleistakenfromstationBinAugust2020,whichmainlyinvolveshotvideodatarelatedtolifesections,andselectedalargenumberofhotwords,commentsandotherdataforanalysisandresearch,andfinallyrealizedthevisualizationofthedata.Understandingthegeneraltrendofonlinepublicopinionduringthisperiod,graspingthepsychologicalattitudeofusers,andstrengtheningtheinteractivefeedbackoftheaudiencecanalsostimulateusers'interestinculturalexplorationatstationB.Keywords：Bilibilib;Userbehavioranalysis;Hotvideo;目录第1章绪论........................................................................................................11.1选题背景与意义....................................................................................11.2研究目的及意义....................................................................................21.3国内外研究现状....................................................................................2第2章关键技术.................................................................................................21.1爬虫技术...............................................................................................42.2Python....................................................................................................4第3章模块设计.................................................................................................43.1数据爬取模块......................................................................................53.2数据的挖掘与分析模块......................................................................53.3数据可视化模块..................................................................................5第4章数据挖掘和分析.....................................................................................64.1样本选取与数据来源..........................................................................74.1.1数据爬取....................................................................................74.1.2数据预处理..............................................................................114.2各功能模块的实现........................................