International Journal of Scientific Research and Engineering Development

YouTube provides only some tools for the modification of the comments in the comment section. Because of this, the volume of spam comments increasing rapidly. Using Machine Learning, the comments can be detected and prevented. There are a lot of approaches in ML to spam. It is often seen in applications like YouTube where people watch a lot of videos for so many purposes it can be for entertainment or learning and it provides a way for users to interact with the creators through the comment section. There exists a way where people post scam comments which are quite harmful. In the current project, spam detection was performed on selected you tube comments and we predict the entered comment as ‘SPAM’ or ‘NOT SPAM’. Google Safe Search and You tube Bookmaker are two tools that can be used to block harmful links; however, they cannot immediately safeguard real-time users. Four Artificial Intelligence approaches have been employed by victimization to run the survey for the spam comment detection methodology. With the raised quality of online social networks, spammers realize these platforms are simple to lure users into malicious activities by posting spam messages in the comments section of the videos. The dataset consists of labelled YouTube comments, and text preprocessing was performed using Term Frequency-Inverse Document Frequency (TF-IDF) vectorization.

Mr.Basavaraj Nayak, Dhanalakshmi, Lasya Priya M, Deepthi C, "Spam Comments Detection on YouTube Based on Machine Learning" International Journal of Scientific Research and Engineering Development, V8(6): Page(2746-2755) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.