Semi-supervised spam detection in Twitter stream

• المؤلفون الرئيسيون: Sedhai, Surendra, Sun, Aixin
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: Semi-supervised Learning; Twitter
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/89418; http://hdl.handle.net/10220/44906
• المؤسسة: Nanyang Technological University

Most existing techniques for spam detection on Twitter aim to identify and block users who post spam tweets. In this paper, we propose a semi-supervised spam detection (S3D) framework for spam detection at tweet-level. The proposed framework consists of two main modules: spam detection module operat...