Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis-Reference-Cited by-同舟云学术

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Detecting Relevant Information in High- Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis

Published:2023-12-15 Issue: Volume:20 Page:1979-1985
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Alves Jeovane Honório¹,Pedroso Horácio A. C. G.¹,Venetikides Rafael Honorio²,Köster Joel E. M.³,Grochocki Luiz Rodrigo³,Freitas Cinthia O. A.⁴,Barddal Jean Paul¹

Affiliation:

1. Pontificia Universidade Católica do Parana (PUCPR),Programa de Pós-Graduacao em Informática (PPGIa),Curitiba,Brazil

2. Pontificia Universidade Catolica do Parana (PUCPR),Escola Politecnica,Curitiba,Brazil

3. Policia Cientifica do Parana (PCPR),Curitiba,Brazil

4. Pontificia Universidade Catolica do Parana (PUCPR),Programa de Pós-Graduacao em Direito (PPGD),Curitiba,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459853.pdf?arnumber=10459853

Reference30 articles.

1. Information extraction meets the Semantic Web: A survey

2. Perverted justice: A content analysis of the language used by offenders detected attempting to solicit children for sex;Egan;Antisocial behavior: Causes, correlations and treatments,2011

3. Chatcoder: Toward the tracking and categorization of internet predators;Kontostathis,2009

4. Entrapping the Innocent: Toward a Theory of Child Sexual Predators? Luring Communication

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