Prediction of YouTube View Count using Supervised and Ensemble Machine Learning Techniques

Author:

P Manikandan1,A Manimuthu1,J Sharmila Rajam1,K Sathya Narayana Sharma2

Affiliation:

1. Loyola College,Department of Data Science,Chennai,TamilNadu,600 034

2. Vellore Institute of Science & Technology,Department of Mathematics,Vellore,TamilNadu,632 014

Publisher

IEEE

Reference19 articles.

1. Youtube Trending Videos: Boosting Machine Learning Results Using Exploratory Data Analysis;khanam;The Computer Journal,2021

2. The International Affiliation Network of YouTube Trends;platt;The Ninth International AAAI Conference on Web and Social Media (ICWSM - 15),2015

3. YouTube for foreign languages: You have to see this video;terantino;Language Learning & Technology,2011

4. YouTube marketing: how marketers' video optimization practices influence video views

5. 360 Video Trend on YouTube Before and During the COVID-19 Pandemic

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring Regression Models for Youtube Views Prediction with Interpretable Insights;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. Value Assessment of UGC Short Videos through Element Mining and Data Analysis;Applied Sciences;2023-08-19

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