المؤلفون: Alejandro Rodriguez, Pablo Rivas

مصطلحات موضوعية: Cybercrime, Natural language processing, Fairness, accountability, transparency, trust and ethics of computer systems, Deep learning, Semi- and unsupervised learning, Computer Science Engineering, Human Trafficking Detection, Online Consumer-to-Consumer (C2C) Marketplaces, Natural Language Processing (NLP), Pseudo-labeled Datasets, Machine Learning in Law Enforcement, Transformer Models in NLP, Human Trafficking Risk Prediction (HTRP), Organized Activity Detection (OAD), Integrated Gradients for Interpretability, Text Analysis in Online Advertisements, Cybersecurity and Human Trafficking, AI Ethics in Human Trafficking Prevention, Scalable ML Approaches in Social Issues, Computational Criminology, Data Science in Human Rights Protection

Relation: https://figshare.com/articles/thesis/Combatting_Human_Trafficking_in_the_Cyberspace_A_Natural_Language_Processing-Based_Methodology_to_Analyze_the_Language_in_Online_Advertisements/24602823

الاتاحة: https://doi.org/10.6084/m9.figshare.24602823.v1
https://figshare.com/articles/thesis/Combatting_Human_Trafficking_in_the_Cyberspace_A_Natural_Language_Processing-Based_Methodology_to_Analyze_the_Language_in_Online_Advertisements/24602823