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“Hybrid Topics” -- Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words

Extracting and understanding information, themes and relationships from large collections of documents is an important task for biomedical researchers. Latent Dirichlet Allocation is an unsupervised topic modeling technique using the bag-of-words assumption that has been applied extensively to unvei...

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Bibliografische gegevens
Gepubliceerd in:Stud Health Technol Inform
Hoofdauteurs: Yu, Zhiguo, Nguyen, Thang, Dhombres, Ferdinand, Johnson, Todd, Bodenreider, Olivier
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2017
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5875427/
https://ncbi.nlm.nih.gov/pubmed/29295179
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