Job classification

Job classification is an important task in natural language processing that aims to analyze textual descriptions and automatically identify and categorize job positions. The goal of this task is to enhance the efficiency and accuracy of human resource management, optimize the recruitment process, and achieve precise matching between talent and positions. Its application value lies in the ability to quickly process a large amount of job information, reduce the cost of manual review, improve user experience, and support business decision-making.