NLP-Based Labor Market Intelligence Using Skill Extraction, Demand Clustering, and Salary Regression
Year: 2026
Type: article
Abstract: NLP-driven labor market intelligence project that analyzes online job postings to automatically extract and normalize required skills, group postings into meaningful demand segments using clustering, and estimate salary ranges using regression-based modeling. It transforms unstructured vacancy text into structured insights—such as in-demand skills by role and location, emerging trends over time, and comparable compensation signals—enabling specialists to monitor the job market, support workforce planning, and make evidence-based decisions.This work was conducted at Arab International University (AIU), Syria. The official website of the university is: https://www.aiu.edu.sy
Authors: Abdelhadi, Sayed, Barhoum, Tarek
Institution: Arab International University
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7154289751
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