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Dissection of AI Job Advertisements: A Text Mining-based Analysis of Employee Skills in the Disciplines Computer Vision and Natural Language Processing

Henrik Kortum-Landwehr; Jonas Rebstadt; Oliver Thomas
In: Proceedings of the 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2022), HICSS, 2022.


Human capital is a well discussed topic in infor-mation system research. In order for companies to develop and use IT artifacts, they need specialized employees. This is especially the case when complex technologies, such as artificial intelligence, are used. Two major fields of artificial intelligence are comput-er vision (CV) and natural language processing (NLP). In this paper skills required for CV and NLP specialists are analyzed and compared from a job market perspective. For this purpose, we utilize a text mining-based analysis pipeline to dissect job adver-tisements for artificial intelligence. In concrete, job advertisements of both sub-disciplines were crawled from a large international online job platform and analyzed using named entity recognition and term vectors. It could be shown that skills required differ between the two job profiles. There is no general requirement profile of an artificial intelligence spe-cialist, and it requires a differentiated consideration.