Literature review of algorithms for determining semantic keyword sets
DOI:
https://doi.org/10.56065/9y517n52Keywords:
semantic keyword grouping, natural language processing (NLP), word embeddings, clustering, SEO optimizationAbstract
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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Copyright (c) 2026 Yana Pancheva (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.