Text Analysis for Social Media Cybersecurity: the AMiCA Project

author: Els Lefever, LT³ Language and Translation Technology Team, Ghent University
published: June 6, 2017,   recorded: May 2017,   views: 26
released under terms of: Creative Commons Attribution (CC-BY)
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Description

The text analysis part of the AMiCA project (http://www.amicaproject.be), a cooperation between the University of Antwerp and the University of Ghent, developed methods and software to help moderators detect occurrences of unwanted or dangerous situations in their social networks. More specifically, the project developed prototype systems for the detection of cyberbullying, suicide announcements, and sexually transgressive behavior. In this talk I will focus on the text analysis methods that were used for normalization of social media text, for profiling users, and for detecting dangerous content. I will describe the architectures and results of the three resulting applications.

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