Semi-supervised learning in large scale text categorization

Author:

Xu Zewen,Li Jianqiang,Liu Bo,Bi Jing,Li Rong,Mao Rui

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference24 articles.

1. LI J Q, ZHAO Y, LIU B. Exploiting semantic resources for large scale text categorization [J]. Journal of Intelligent Information Systems, 2012, 39(3): 763–788.

2. MIYATO T, DAI A M, GOODFELLOW I. Virtual adversarial training for semi-supervised text classification [EB/OL]. (2016-07-22). https://arxiv.org/abs/1605.07725v1.

3. YIN C Y, XIANG J, ZHANG H, et al. A new SVM method for short text classification based on semisupervised learning [C]//2015 4th International Conference on Advanced Information Technology and Sensor Application. Dubai, UAE: IEEE, 2015: 100–103.

4. JOHNSON R, ZHANG T. Semi-supervised convolutional neural networks for text categorization via region embedding [J]. Advances in Neural Information Processing Systems, 2015, 28: 919–927.

5. JOHNSON R, ZHANG T. Supervised and semisupervised text categorization using LSTM for region embeddings [C]//Proceedings of the 33rd International Conference on Machine Learning. New York, USA: JMLR W&CP, 2016: 1–9.

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