A novel framework for identifying twitter spam data using machine learning algorithms
Nowadays, Twitter has become one of the most popular social media in the world. However, its popularity makes it an attractive platform for spammers to spread spam. Twitter spam becomes a severe issue. It is referred to as unsolicited tweets containing malicious links that direct victims to external...
| Main Authors: | Maziku, Susana Boniphace, Abdul Rahiman, Amir Rizaan, Muhammed, Abdullah, Abdullah @ Selimun, Mohd Taufik |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science Press
2020
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/87624/ http://psasir.upm.edu.my/id/eprint/87624/1/ABSTRACT.pdf |
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