Data Mining Method for Video Subscribers and Analysis of Youtube

• Published in: International research journal of innovations in engineering and technology 2024-02, Vol.8 (2), p.123
• Main Authors: Nadhiya, S, Kumar, S Dinesh, Sudha, N, Ganapathy, G Chitra
• Format: Article
• Language: English
• Subjects: Data mining; Marketing; Motion pictures; Trailers
• ISSN: 2581-3048
• DOI: 10.47001/IRJIET/2024.802017

With a huge collection of videos attracting billions of views from users each month, the resulting data generated by YouTube is enormous. Data like view count, like count, dislike count, user comments, etc are all valuable data that can be extracted and analyzed to uncover insights about user preferences and sentiment towards a particular video or a particular cause e.g. the Ice Bucket Challenge, sometimes called the ALS Ice Bucket Challenge that went viral on YouTube few years ago. It also presents valuable information to marketers in their decision-making process of promoting a particular product or service. A fun example would be a movie studio, having uploaded a new movie trailer on their YouTube channel and would like to know about viewers' response towards the upcoming movie. Statistics on the movie trailer such as view count, like count and user comments can help marketers to gauge the market response to the movie and allocate their marketing budget accordingly. This is the primary motivation behind this project. In this project, I have extracted and analyzed some interesting statistics about popular superhero movies from both Disney/Marvel and Warner Bros/DC such as Infinity War, Justice League, Black Panther, Wonder Woman and Aquaman.