On Textual Analysis and Machine Learning for Cyberstalking Detection

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• 作者：Ingo Frommholz ; Haider M. al-Khateeb ; Martin Potthast ; Zinnar Ghasem…
• 刊名：Datenbank-Spektrum
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：16
• 期：2
• 页码：127-135
• 全文大小：478 KB
• 刊物类别：Computer Science
• 刊物主题：Computer Systems Organization and Communication Networks
  Data Structures, Cryptology and Information Theory
  Software Engineering, Programming and Operating Systems
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1610-1995
• 卷排序：16

文摘

Cyber security has become a major concern for users and businesses alike. Cyberstalking and harassment have been identified as a growing anti-social problem. Besides detecting cyberstalking and harassment, there is the need to gather digital evidence, often by the victim. To this end, we provide an overview of and discuss relevant technological means, in particular coming from text analytics as well as machine learning, that are capable to address the above challenges. We present a framework for the detection of text-based cyberstalking and the role and challenges of some core techniques such as author identification, text classification and personalisation. We then discuss PAN, a network and evaluation initiative that focusses on digital text forensics, in particular author identification.KeywordsCyber securityCyberstalkingCyber harassmentText analyticsMachine learningAuthor identification