Learning textual features for Twitter spam detection: A systematic literature review-Reference-Cited by-同舟云学术

Learning textual features for Twitter spam detection: A systematic literature review

Published:2023-10 Issue: Volume:228 Page:120366
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bazzaz Abkenar Sepideh,Haghi Kashani Mostafa,Akbari Mohammad^ORCID,Mahdipour Ebrahim

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference134 articles.

1. Detection of Malicious URLs in Twitter;Abhijith,2021

2. Big data analytics meets social media: A systematic review of techniques, open issues, and future directions;Abkenar;Telematics and Informatics,2020

3. Twitter spam account detection based on clustering and classification methods;Adewole;The Journal of Supercomputing,2018

4. Twitter spam account detection based on clustering and classification methods;Adewole;The Journal of Supercomputing,2020

5. Spam filtering of bi-lingual tweets using machine learning;Afzal,2016

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