Evaluation of Topic Modeling Methods in Chinese Medical Abstracts / 医学信息学杂志
Journal of Medical Informatics
;
(12): 60-64, 2018.
Article
in Chinese
| WPRIM
| ID: wpr-700755
ABSTRACT
Taking abstracts of Chinese medical papers as corpus,the paper adopts the combination of 3 feature selection methods and 2 topic modeling methods to carry out topic modeling.The result shows that in the modeling methods,prediction ability and fitting degree of LDA are better than that of CTM,but in the feature selection methods,fitting degree of IDF and prediction ability of TF are better.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Prognostic study
Language:
Chinese
Journal:
Journal of Medical Informatics
Year:
2018
Type:
Article
Similar
MEDLINE
...
LILACS
LIS