Abstract:
This research focuses on analyzing and summarizing responsibilities and requirements from Information Technology job postings. To tackle this, a method known as Co-occurrence Information Discovery in Computer-related Job Advertisements (CID-CJA) is introduced. This novel method is designed to extract valuable information from job postings and has been tested using a dataset of 4,280 English-language job postings from job search websites in Thailand, including jobsDB, LinkedIn, and Indeed. The process involves categorizing job positions into 11 groups related to technology. This categorization is employed to highlight the structural patterns in job posting details and unveil profound insights into the data. The flexibility of the CID-CJA method allows users to conduct in-depth analyses on specific data elements, access summaries, and adjust the level of detail according to their requirements. The CID-CJA method has been assessed from three key perspectives: accuracy in grouping, precision in keyword extraction, and correctness in categorizing and structuring crucial data. Real job postings were utilized to validate the method, resulting in insights that can assist job seekers in comprehending responsibilities, necessary skills, and specific job attributes. Furthermore, it can aid employers in crafting job descriptions tailored to their organizational needs. The CID-CJA method represents an effective approach for those engaged in the Information Technology field.