Combining and Merging Deep Neural Networks for Arabic Text Categorization

Author:

El-Alami Fatima-Zahra,Alaoui Said Ouatik El

Publisher

Springer International Publishing

Reference19 articles.

1. Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: International Conference on Learning Representations (ICLR) Workshop, Arizona, Scottsdale, 2–4 May 2013

2. Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: Proceedings of the 31st International Conference on Machine Learning (ICML-14), Beijing, China, pp. 1188-1196, June 2014

3. Liu, P., Qiu, X., Huang, X.: Recurrent neural network for text classification with multi-task learning. In: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, pp. 2873–2879 (2016)

4. Kim, Y.: Convolutional neural networks for sentence classification, Paper presented at Conference on Empirical Methods in Natural Language Processing, Doha, Qatar (2014)

5. Abu-Errub, A.: Arabic text classification algorithm using TFIDF and chi-square measurements. Int. J. Comput. Appl. 93(6) (2010)

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