Modeling of topics applied to the analysis of the paper of automatic learning in systemic revisions

Modeling of topics applied to the analysis of the paper of automatic learning in systemic revisions

The objective of the research was to analyze the role of machine data learning in systematic literature reviews. The Natural Language Processing technique called topic modeling was applied to a set of titles and abstracts collected from the Scopus database. Specifically, the Latent Dirichlet Assignm...

書誌詳細
主要な著者:	Grisales-Aguirre, Andrés Mauricio, Figueroa-Vallejo, Carlos Julio
フォーマット:	Online
言語:	spa
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2022
主題:	topic modeling; machine learning; systematic reviews; Latent Dirichlet Allocation modelado de tópicos; aprendizaje automático; revisiones sistemáticas; Asignación Latente de Dirichlet
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/15271

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