Muhamad Shapee, Syaza Liyana (2021) Youtube spam detection using ensemble method. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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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.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | Spam, Youtube, Users, Repository, Machine, Datasets, Detection, Drawbacks, Comment, Model |
| Divisions: | Library > Final Year Project > FTMK |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 29 Nov 2022 01:44 |
| Last Modified: | 03 Dec 2024 02:47 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/27187 |
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