Research on the construction of human resources job competency model based on text mining

Text mining is a hot research field that combines data mining with natural language processing. Using text mining technology, researchers can effectively integrate information to accurately retrieve and locate information, allowing users to find useful data efficiently. The job competency model is the cornerstone and pillar of human resources work. It contains a series of job competency elements. It costs a lot to build a competency model in the traditional way. In order to solve this problem, this article studies the use of text mining technology to build a competency model. For text clustering, this paper proposes a method based on an improved ant colony clustering model. This method makes full use of the self-organization of the ant colony clustering algorithm and its insensitivity to the order of previous data input, and improves the algorithm on its shortcomings. Experimental results show that the clustering precision rate, recall rate and 1F evaluation value of this algorithm can achieve the expected results.