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This research aims to identify the modern competency landscape for civil engineers in the Turkish construction industry.

Civil Engineering Competency Map: A Text-Mining Analysis of Job Advertisements for the Turkish Construction Industry

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This research aims to identify the modern competency landscape for civil engineers in the Turkish construction industry.
Analyzed 154 job advertisements from a major job portal.
Employed term frequency–inverse document frequency for skill importance.
Used latent Dirichlet allocation for thematic modeling and k-means clustering for role segmentation.
Identified that modern civil engineers require a combination of technical and soft skills.
Revealed distinct skill clusters for different roles, emphasizing the importance of leadership as careers progress.
Provided a methodological framework to guide educational institutions in aligning curricula with industry needs.

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Quantitative text-mining analysis of job advertisements identifies civil engineering skills in Turkey, highlighting educational needs.

Volkan Arslan (2026) studied this question.

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