Literature review of algorithms for determining semantic keyword sets

Yana Pancheva ()
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Yana Pancheva: Department of Informatics,University of Economics -Varna, Varna, Bulgaria

Business & Management Compass, 2026, issue 1, 61-66

Abstract: The purpose of thispaper is to present a literature review of algorithms and methods for determining semantic keyword sets in the context of search engine optimisation(SEO) and natural language processing (NLP). The practical significance lies in identifying applicable approaches for automated semantic keyword grouping in real business environments. Limitations are associated with the insufficient scientific coverage of the topic for morphologically complex languages such as Bulgarian. The research method is a desk study of existing publications. Expected results include a systematisedoverview of leading algorithmic approaches and identified research gaps.

Keywords: semantic keyword grouping; natural language processing (NLP); word embeddings; clustering; SEO optimization (search for similar items in EconPapers)
JEL-codes: C41 E13 O14 P24 (search for similar items in EconPapers)
Date: 2026
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