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Two-stage topic modelling of scientific publications: A case study of University of Nairobi, Kenya
Unsupervised statistical analysis of unstructured data has gained wide acceptance especially in natural language processing and text mining domains. Topic modelling with Latent Dirichlet Allocation is one such statistical tool that has been successfully applied to synthesize collections of legal, bi...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7790388/ https://ncbi.nlm.nih.gov/pubmed/33411774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243208 |
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