Youtube spam detection using ensemble method

Muhamad Shapee, Syaza Liyana (2021) Youtube spam detection using ensemble method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

	Text (24 Pages) Youtube spam detection using ensemble method.pdf - Submitted Version Download (241kB)
	Text (Full Text) Youtube spam detection using ensemble method.pdf - Submitted Version Restricted to Repository staff only Download (6MB)

Abstract

The number of YouTube users is constantly rising. However, such success is not without its drawbacks. Spam has become a common form of attack and threat, and most YouTube users are unaware of it. Receiving and being overwhelmed with unnecessary spam regularly has become one of the most internet-disruptive topics in today's world. The Support Vector Machine (SVM) is used in this study to develop a YouTube detection framework. The YouTube spam datasets were obtained from the UCI Machine Learning Repository. This project aims to show that an SVM model can accurately predict YouTube spam in a comment. Based on the SVM model, this research could produce a system that can detect spam and legitimate comments on YouTube.

Actions (login required)

View Item