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Hierarchical lifelong topic modeling using rules extracted from network communities

Topic models extract latent concepts from texts in the form of topics. Lifelong topic models extend topic models by learning topics continuously based on accumulated knowledge from the past which is updated continuously as new information becomes available. Hierarchical topic modeling extends topic...

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Detalles Bibliográficos
Autores principales: Khan, Muhammad Taimoor, Azam, Nouman, Khalid, Shehzad, Aziz, Furqan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8893656/
https://www.ncbi.nlm.nih.gov/pubmed/35239700
http://dx.doi.org/10.1371/journal.pone.0264481