Analysis and Visualization of Netflix Shows

Devashree, Himanshi Goel, N. Sharma, M. Mangla
{"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.
Netflix节目的分析和可视化
研究工作的目的是对Netflix上主要是电影和节目的数据进行数据分析。分析侧重于各种细节,如发行年份,类型,在tmdb和imdb数据库中的评级。分析还集中在Netflix观众中电视剧和电影的受欢迎程度。作者考虑了数据集的可视化,以便提供最受观众欢迎的节目和内容的全面视图。这些信息可以被平台用来推荐类似的内容,以吸引大量的观众。该任务使用数据集预处理和随后使用各种工具的可视化来执行。从目前的研究分析可以看出,喜剧是最受观众欢迎的类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信