Academic Journal

BRIDGING THE IT SKILL GAP WITH INDUSTRY DEMANDS: AN AI-DRIVEN TEXT MINING APPROACH TO JOB MARKET TRENDS USING LARGE LANGUAGE MODEL

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: BRIDGING THE IT SKILL GAP WITH INDUSTRY DEMANDS: AN AI-DRIVEN TEXT MINING APPROACH TO JOB MARKET TRENDS USING LARGE LANGUAGE MODEL
Συγγραφείς: Journal of Theoretical and Applied Information Technology
Στοιχεία εκδότη: LLS, 2025.
Έτος έκδοσης: 2025
Θεματικοί όροι: Generative AI, Keyword Extraction, IT Employment, Large Language Models (LLMs), Natural Language Processing (NLP), Data Visualization, Data Analytics, Text Mining
Περιγραφή: The growing influence of technological advancements and the complexity of business requirements have revolutionized the IT industry underscoring the critical need for a comprehensive understanding of the skills and tools most valued and prioritized by employers. However, identifying these in-demand competencies remains a challenge given the dynamic nature of the job market. With previous studies exploring IT skill demands and very few studies utilizing AI-driven text-mining techniques to systematically analyze a large number of job advertisements, this research aims to address the ongoing gap between individual competencies and industry requirements. Leveraging text mining techniques, natural language processing (NLP), and large language models (LLMs) such as GPT-based AI model to enhance keyword extraction, this study provides the workflow process for generating knowledge-based insights using Term Frequency-Inverse Document Frequency (TF-IDF) scoring from a collection of IT job advertisements. The study identified vocabularies related to key skills and tools, by effectively summarizing the occurrences in job postings and revealing key terms that characterize specific roles and industry demands across IT sectors such as Software Development, DevOps, Cloud, Database Administration, Business Analysis, and Business Intelligence. Key findings reveal the demand for programming languages like VB.NET, Bash, and Python, alongside specialized languages including Dart, Kotlin, and Ruby, reflecting the growing importance of niche expertise. IT professionals are expected to be proficient in tools such as MS Visual Studio, and Crystal Report, as well as emerging frameworks like Flutter while skills in NoSQL and tools like MS Excel, ERP platforms, and Vertica are vital for supporting data-driven decision-making and business intelligence. By offering actionable insights into evolving industry expectations, this research serves as a valuable resource for educators with curriculum development, for recruiters with their talent acquisition strategies, and for job seekers with acquiring in-demand skills, ultimately ensuring a more responsive and competitive IT labor market.
Τύπος εγγράφου: Article
Γλώσσα: English
DOI: 10.5281/zenodo.17175903
DOI: 10.5281/zenodo.17175904
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi.dedup.....1c48c16b9d3db2f617944b91b14d74c2
Βάση Δεδομένων: OpenAIRE