文章基本信息

标题：Data-Driven Intelligent Application for Youtube Video Popularity Analysis using Machine Learning and Statistics
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作者：Wenxi Gao ; Ishmael Rico ; Yu Sun 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2021
卷号：11
期号：8
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：People now prefer to follow trends. Since the time is moving, people can only keep themselves from being left behind if they keep up with the pace of time. There are a lot of websites for people to explore the world, but websites for those who show the public something new are uncommon. This paper proposes an web application to help YouTuber with recommending trending video content because they sometimes have trouble in thinking of the video topic. Our method to solve the problem is basically in four steps: YouTube scraping, data processing, prediction by SVM and the webpage. Users input their thoughts on our web app and computer will scrap the trending page of YouTube and process the data to do prediction. We did some experiments by using different data, and got the accuracy evaluation of our method. The results show that our method is feasible so people can use it to get their own recommendation.
关键词：Machine Learning;data processing;SVM;topic prediction