Journal ArticleOpen Access
Detecting Suspicious Texts Using Machine Learning Techniques
Authors
Author Affiliations
Chittagong University of Engineering & Technology, La Trobe University, Victoria University
Published InApplied Sciences
Year2020
Citations45
Abstract
Due to the substantial growth of internet users and its spontaneous access via electronic devices, the amount of electronic contents has been growing enormously in recent years through instant messaging, social networking posts, blogs, online portals and other digital platforms. Unfortunately, the misapplication of technologies has increased with this rapid growth of online content, which leads to the rise in suspicious activities. People misuse the web media to disseminate malicious activity, perform the illegal movement, abuse other people, and publicize suspicious contents on the web. The suspicious contents usually available in the form of text, audio, or video, whereas text contents have been used in most of the cases to perform suspicious activities. Thus, one of the most challenging issues…
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