Youtube spam detection framework using naïve bayes and logistic regression

• Main Authors: Nur’Ain Maulat, Samsudin, Cik Feresa, Mohd Foozy, Nabilah, Alias, Palaniappan, Shamala, Nur Fadzilah, Othman, Wan Isni Sofiah, Wan Din
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2019
• Subjects: HE Transportation and Communications; Q Science (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/25114/1/Youtube%20spam%20detection%20framework%20using%20na%C3%AFve%20bayes.pdf; http://umpir.ump.edu.my/id/eprint/25114/; http://ijeecs.iaescore.com/index.php/IJEECS/article/view/18468; http://doi.org/10.11591/ijeecs.v14.i3.pp1508-1517
• Institution: Universiti Malaysia Pahang

YouTube has become a popular social media among the users. Due to YouTube popularity, it became a platform for spammer to distribute spam through the comments on YouTube. This has become a concern because spam can lead to phishing attack which the target can be any user that click any malicious link...