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Tri-clusters in the Analysis of Advertisements of Working Vacancies

Student: Babin Daniil

Supervisor: Boris Mirkin

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2021

In this research we tried to analyze contents of vacancies in IT industry from open sources in the context of triplets «Requirements-Responsibilities-Working environments». For this purpose, we downloaded 10500 job vacancies texts; formulated lists of typical sentences from each aspect of triplet; formulated relevancy matrices «vacancy-list» utilizing annotated suffix tree method; formulated a three-way matrix of co-relevancy R-R-W, which was used for calculation of three-way clusters RRW using «Tricluster box on updated matrix» and «Overlap» methods. Part of resulting clusters allows apparent interpretation of modern IT industry employer requirements.

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