Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Lexical and Discourse Analysis of Online Chat Dialog
ICSC '07 Proceedings of the International Conference on Semantic Computing
Toward Spotting the Pedophile Telling victim from predator in text chats
ICSC '07 Proceedings of the International Conference on Semantic Computing
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Improving word sense disambiguation in lexical chaining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Learning to Identify Internet Sexual Predation
International Journal of Electronic Commerce
Automatic emotion classification for interpersonal communication
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
On the impact of sentiment and emotion based features in detecting online sexual predators
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
Exploring high-level features for detecting cyberpedophilia
Computer Speech and Language
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The ability to detect deceptive statements in predatory communications can help in the identification of sexual predators, a type of deception that is recently attracting the attention of the research community. Due to the intention of a pedophile of hiding his/her true identity (name, age, gender and location) its detection is a challenge. According to previous research, fixated discourse is one of the main characteristics inherent to the language of online sexual predation. In this paper we approach this problem by computing sex-related lexical chains spanning over the conversation. Our study shows a considerable variation in the length of sex-related lexical chains according to the nature of the corpus, which supports our belief that this could be a valuable feature in an automated pedophile detection system.