This academic article presents a comprehensive survey on the use of deep learning methodologies for skill extraction and classification from job postings. The paper addresses the lack of standardized terminology in the field and provides clarity to terms like hard and soft skills. It also examines various publicly accessible datasets and their creation methodologies. The study adopts an NLP-centric focus, diving deep into the latest advancements of neural methods for skill extraction and classification. The research methodology includes the use of several academic databases with primary search terms like ‘skill extraction’ and ‘job’.
Publication date: 9 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.05617
