{"title":"Analysis and Visualization of Netflix Shows","authors":"Devashree, Himanshi Goel, N. Sharma, M. Mangla","doi":"10.1109/AIST55798.2022.10065331","DOIUrl":null,"url":null,"abstract":"The research work aims to perform data analysis on the data on Netflix primarily on movies and shows. The analysis focuses on various details like release year, genre, rating in tmdb and imdb databases. Analysis also focuses on popularity of the shows and movies amonst Netflix viewers. The authors have considered the dataset for visualization so as to provide a comprehensive view of the shows and contents which are most popular among the audience. This information can be used by the platform to recommend similar content in order to attract a huge viewership. This task is performed using dataset prepossessing and subsequent visualization using various tools. From the analysis in current research, it becomes evident that comedy is the most popular genre among audiences.","PeriodicalId":360351,"journal":{"name":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIST55798.2022.10065331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research work aims to perform data analysis on the data on Netflix primarily on movies and shows. The analysis focuses on various details like release year, genre, rating in tmdb and imdb databases. Analysis also focuses on popularity of the shows and movies amonst Netflix viewers. The authors have considered the dataset for visualization so as to provide a comprehensive view of the shows and contents which are most popular among the audience. This information can be used by the platform to recommend similar content in order to attract a huge viewership. This task is performed using dataset prepossessing and subsequent visualization using various tools. From the analysis in current research, it becomes evident that comedy is the most popular genre among audiences.