English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This project tackles the pressing issue of human trafficking in online C2Cmarketplaces through advanced Natural Language Processing (NLP) techniques. Weintroduce a novel methodology for generating pseudo-labeled datasets withminimal supervision, serving as a rich resource for training state-of-the-artNLP models. Focusing on tasks like Human Trafficking Risk Prediction (HTRP) andOrganized Activity Detection (OAD), we employ cutting-edge Transformer modelsfor analysis. A key contribution is the implementation of an interpretabilityframework using Integrated Gradients, providing explainable insights crucialfor law enforcement. This work not only fills a critical gap in the literaturebut also offers a scalable, machine learning-driven approach to combat humanexploitation online. It serves as a foundation for future research andpractical applications, emphasizing the role of machine learning in addressingcomplex social issues.

Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements