Machine Learning based Spam Comments Detection on YouTube

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 detect 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. These comments can be dangerous and they can include links to other pages which can hack any information or data or steal any confidential details when a link is composed on that comment, in some cases it can also redirect to the page where it attracts people to earn money while playing a game and it is a scam and most people have actually lost their money by clicking on such type of links displayed via comment or messages. The purpose of this project is to detect all the spam comments that are being posted on the internet to avoid any scams or any unrelated information. In this study, Naive Bayes classification algorithm is used. The detection accuracy of this proposed system is 92.78%.