基于数据挖掘算法的“B站”用户行为数据分析

ABSTRACTAfter years of development,online video has become one of the mainapplications on the Internet.At present,online videos have the characteristics of largequantity,quick release,large influence and great influence.Bilili Barrage VideoNetwork (abbreviated as Station B)is currently the leading barrage video website inChina.According to the video survey on the whole platform,the proportion of videoscreated by users of station B is as high as 85%.For the video creators among them,how to further analyze and study hot videos in the complex data ocean of the Internethas become a difficult research problem.The data in this article is taken from stationB in August 2020,which mainly involves hot video data related to life sections,andselected a large number of hot words,comments and other data for analysis andresearch,and finally realized the visualization of the data.Understanding the generaltrend of online public opinion during this period,grasping the psychological attitudeof users,and strengthening the interactive feedback of the audience can also stimulateusers'interest in cultural exploration at station B.Key words:Bilibilib;User behavior analysis;Hot video;