Literature review of algorithms for determining semantic keyword sets

Authors

  • Yana Pancheva Department of Informatics, University of Economics – Varna Author

DOI:

https://doi.org/10.56065/9y517n52

Keywords:

semantic keyword grouping, natural language processing (NLP), word embeddings, clustering, SEO optimization

Abstract

The purpose of this paper 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 systematised overview of leading algorithmic approaches and identified research gaps.

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Published

31.03.2026

Issue

Section

Articles

How to Cite

Pancheva, Y. (2026) “Literature review of algorithms for determining semantic keyword sets”, Business & Management Compass, 70(1), pp. 61–66. doi:10.56065/9y517n52.