Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 2020: A bibliometric study

BACKGROUND: Little systematic information has been collected about the nature and types of articles published in 2 journals by identifying the latent topics and analyzing the extracted research themes and sentiments using text mining and machine learning within the 2020 time frame. The goals of this...

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Detalles Bibliográficos
Autores principales: Lin, Ju-Kuo, Chien, Tsair-Wei, Yeh, Yu-Tsen, Ho, Sam Yu-Chieh, Chou, Willy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Systematic Review and Meta-Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513210/
https://www.ncbi.nlm.nih.gov/pubmed/35356912
http://dx.doi.org/10.1097/MD.0000000000029029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513210/
https://www.ncbi.nlm.nih.gov/pubmed/35356912
http://dx.doi.org/10.1097/MD.0000000000029029

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