Leveraging LLMs For Turkish Skill Extraction

Vahid Faraji et al. · arXiv:2601.22885 · January 2026

https://arxiv.org/abs/2601.22885

Summary

This paper tackles the problem of extracting structured skills from Turkish job postings and labor market data using large language models. It presents the first systematic LLM-based benchmark for Turkish NLP in workforce analytics.

Contribution

• First systematic LLM benchmark for Turkish skill extraction
• Applies LLMs to labor market analytics in a low-resource language context
• Bridges workforce analytics with modern LLM capabilities

References & Links

• arXiv: https://arxiv.org/abs/2601.22885
• Author: Vahid Faraji — Applied AI Specialist