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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| 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 |