A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Feature Selection for Unbalanced Class Distribution and Naive Bayes
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Artificial Intelligence with Uncertainty
Artificial Intelligence with Uncertainty
Hi-index | 0.00 |
In text domains, effect feature selection is to use a small amount of core information to delegate the text itself. This paper presents a new featured selection method with cloud model on text classification that was gathered from Wikipedia featured articles. The results reveal that the new featured selection metric based on cloud model outperformed the others. It can use a few featured to delegate text and achieve a good classification results.