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Comment Topic Evolution on a Cancer Institution’s Facebook Page
Objectives : Our goal was to identify and track the evolution of the topics discussed in free-text comments on a cancer institution’s social media page. Methods : We utilized the Latent Dirichlet Allocation model to extract ten topics from free-text comments on a cancer research institution’s Facebo...
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| Published in: | Appl Clin Inform |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Schattauer GmbH
2017
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| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6220692/ https://ncbi.nlm.nih.gov/pubmed/28832069 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4338/ACI-2017-04-RA-0055 |
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