Topic Modeling in the Context of Medical Texts
DOI: 10.21293/1818-0442-2021-24-4-58-64
Abstract: Text analysis is an important area of research that includes several areas such as information retrieval, information extraction, and text categorization. Text analysis is widely used in the field of medical research because of the number of studies published daily, which can be processed at such a speed only with the help of computational resources. This paper presents the results of an experiment to thematically model a corpus of articles from the PubMed database from 2000 to 2020.
Keywords: health sciences, text analysis, latent dirichlet distribution, research trends, knowledge mapping, knowledge synthesis, pubmed
For citation:
Zemlyanskiy S. A., Aksyonov S. V., Lyzin I. A., Berestneva O. G. Topic Modeling in the Context of Medical Texts. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2021, vol. 24, no. 4, pp. 58–64. DOI: 10.21293/1818-0442-2021-24-4-58-64
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