Youtube Comment Spam Detection

YouTube is the most commonly used application these days. There are both good users and bad users who use youtube. Spammers have realized that these types of social media are easier to lure the users into malicious activities. In the current project, spam detection was performed on selected youtube comments and we predict the entered comment as ‘SPAM’ or ‘NOT SPAM’. Google Safe Search and Youtube 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: Call tree, Ada Boost, logistic regression, and Random Forest. We shall achieve a 91.65 percent associate degree of accuracy by using neural networks and also to beat the current action course by around 18%. The difficulty of spam and the efficiency of the most well-known AI approaches (SVMs, Bayesian representation, ANNs, k-NN).