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Exploring high-level features for detecting cyberpedophilia

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Exploring high-level features for detecting cyberpedophilia

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Bogdanova, D.; Rosso, P.; Solorio, T. (2014). Exploring high-level features for detecting cyberpedophilia. Computer Speech and Language. 28(1):108-120. https://doi.org/10.1016/j.csl.2013.04.007

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/49393

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Title: Exploring high-level features for detecting cyberpedophilia
Author: Bogdanova, Dasha Rosso, Paolo Solorio, Thamar
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] In this paper, we suggest a list of high-level features and study their applicability in detection of cyberpedophiles. We used a corpus of chats downloaded from http://www.perverted-justice.com and two negative datasets ...[+]
Subjects: Cyberpedophilia , Sentiment analysis , Emotion detection
Copyrigths: Reserva de todos los derechos
Source:
Computer Speech and Language. (issn: 0885-2308 )
DOI: 10.1016/j.csl.2013.04.007
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.csl.2013.04.007
Project ID:
info:eu-repo/grantAgreement/EC/FP7/269180/EU/Web Information Quality Evaluation Initiative/
info:eu-repo/grantAgreement/UPV//PAID-02-11-1932/
info:eu-repo/grantAgreement/MINECO//TIN2012-38603-C02-01/ES/DIANA-APPLICATIONS: FINDING HIDDEN KNOWLEDGE IN TEXTS: APPLICATIONS/
Thanks:
The work of Dasha Bogdanova was partially carried out during the internship at the Universitat Politecnica de Valencia (scholarship of the University of St. Petersburg). Her research was partially supported by Google ...[+]
Type: Artículo

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