TermInformer: unsupervised term mining and analysis in biomedical literature

Terminology is the most basic information that researchers and literature analysis systems need to understand. Mining terms and revealing the semantic relationships between terms can help biomedical researchers find solutions to some major health problems and motivate researchers to explore innovati...

Descripción completa

Detalles Bibliográficos
Autores principales: Tiwari, Prayag, Uprety, Sagar, Dehdashti, Shahram, Hossain, M. Shamim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2020
Materias:
S.I.: Data Fusion in the era of Data Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494250/
https://www.ncbi.nlm.nih.gov/pubmed/32958982
http://dx.doi.org/10.1007/s00521-020-05335-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494250/
https://www.ncbi.nlm.nih.gov/pubmed/32958982
http://dx.doi.org/10.1007/s00521-020-05335-2

Ejemplares similares