Text classification method based on self-training and LDA topic models

M Pavlinek, V Podgorelec - Expert Systems with Applications, 2017 - Elsevier
Supervised text classification methods are efficient when they can learn with reasonably
sized labeled sets. On the other hand, when only a small set of labeled documents is …
被引用次数：241 相关文章

Text classification method based on self-training and LDA topic models

M Pavlinek, V Podgorelec - Expert Systems with Applications: An …, 2017 - dl.acm.org
A novel text classification method for learning from very small labeled set. The method uses
a text representation based on the LDA topic model. Self-training is used to enlarge labeled …

[引用][C] Text classification method based on self-training and LDA topic models

M Pavlinek, V Podgorelec - Expert Systems with Applications, 2017 - cir.nii.ac.jp

Text classification method based on self-training and LDA topic models

M Pavlinek, V Podgorelec - Expert Systems with Applications, 2017 - infona.pl
Supervised text classification methods are efficient when they can learn with reasonably
sized labeled sets. On the other hand, when only a small set of labeled documents is …