Analysing Twitter Data for Phishing Tweets Identification

Volume: 17, Issue: 2, Pages: 96 - 106
Published: Apr 1, 2021
Abstract
Detecting threats like adult, violent, and phishing tweets on online social networks is a crucial issue in recent years. The aim of the work is to identify phishing content from the users' perspective in real-time tweets. To outline such content comprehensively, lexicon analysis with sentiments are encapsulated to investigate tweets that yield phishing dynamic keywords, while some features and parameters are altered to optimize the performance....
Paper Details
Title
Analysing Twitter Data for Phishing Tweets Identification
Published Date
Apr 1, 2021
Volume
17
Issue
2
Pages
96 - 106
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