Analysis and tuning of hierarchical topic models based on Renyi entropy approach

Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness. However, parameter optimization in hierarchical models, which includes finding an a...

Descripción completa

Detalles Bibliográficos
Autores principales: Koltcov, Sergei, Ignatenko, Vera, Terpilovskii, Maxim, Rosso, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330431/
https://www.ncbi.nlm.nih.gov/pubmed/34401473
http://dx.doi.org/10.7717/peerj-cs.608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8330431/
https://www.ncbi.nlm.nih.gov/pubmed/34401473
http://dx.doi.org/10.7717/peerj-cs.608

Ejemplares similares