Research On Big Data Of Film And Television

In today's era of rapid development of mobile Internet and Internet of Things,a large number of information data is increasing year by year.How to effectively obtain valuable information,big data mining technology has become the top priority.Cultural film and television industry,one of the pillars of national economy,has attracted much attention from major radio and television networks and investors.Box office and ratings as the main evaluation criteria of the film and television industry,producers,advertising agencies,investment and income of the main reference,invisibly reflects the value of effective data analysis.Faced with the arrival of the big data tide,the storage,preprocessing and analysis of the big data of film and television will face enormous challenges.This paper mainly elaborates the meaning,characteristics and characteristics of big data in film and television,and the role and methods of statistics in the process of data mining and analysis.Finally,the python crawler is used to obtain the video data on the Internet as full data;the Hadoop data platform is used to pre-process the unstructured data,data cleaning,data de-duplication,data integration,data standardization;after processing,based on data mining technology,using association analysis,clustering analysis,factor analysis method and establishing k-means + association analysis and calculation.Method Training model is used to model and analyze the full data of film and TV series.According to the factors of film type,producer,production area,investment amount,box office,ratings,network score and audience groups,the data of film and television in recent years are analyzed and studied.Research shows that domestic movie box office is increasing year by year;well-known directors;star effect has a great impact on film box office and ratings;in addition,it can also be seen that ratings and investment are not necessarily positive relationship,and the ratings of TV plays with large investment are not necessarily good ratings;at the same time,with the birth of new media and the rise of online film and television entertainment,the ratings of radio and television networks are not necessarily good.The rate tends to develop steadily,and more young people tend to use their leisure time to catch up with the drama.Therefore,the advertising in prime time is affected to a certain extent.Based on the above analysis and study of the impact of various attributes of film and television series on film box office and TV ratings,I hope to devote myself to the application of various models in the process of data mining to predict the film and television industry,including film box office and TV ratings;and constantly through a large number of data simulation experiments,to verify and improve the algorithm model.