Application of Disciplinary Background Knowledge in Medical Text Feature Extraction / 医学信息学杂志
Journal of Medical Informatics
;
(12): 50-54,81, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-609356
ABSTRACT
The paper analyzes the conditions of research on the current scientific literature text feature extraction methods,applies the TF-IDF method based on background knowledge in the medical text feature extraction,and conducts experimental comparison in four medical fields.The result indicates that this method can obviously improve the extraction effect when there are few vocabularies to be extracted,and is obviously superior to the IDF based TF-IDF method in the aspects of filtration of commonly-used words in the text set and identification of important feature words.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Journal of Medical Informatics
Año:
2017
Tipo del documento:
Artículo
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