Multi-input CNN for Text Classification in Commercial Scenarios-Reference-Cited by-同舟云学术

Multi-input CNN for Text Classification in Commercial Scenarios

Published:2019 Issue: Volume: Page:596-608
ISSN:0302-9743
Container-title:Advances in Computational Intelligence
language:
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Author:

Parcheta Zuzanna,Sanchis-Trilles Germán,Casacuberta Francisco,Redahl Robin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-20521-8_49

Reference22 articles.

1. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd KDD - ACM SIGKDD, pp. 785–794. ACM (2016)

2. Chollet, F., et al.: Keras: deep learning library for Theano and TensorFlow, vol. 7(8) (2015). https://keras.io/k

3. Hövelmann, L., Allee, S., Friedrich, C.M.: Fasttext and gradient boosted trees at GermEval-2017 on relevance classification and document-level polarity. In: Shared Task on Aspect-Based Sentiment in Social Media Customer Feedback, pp. 30–35 (2017)

4. Jiang, L., Li, C., Wang, S., Zhang, L.: Deep feature weighting for Naive Bayes and its application to text classification. Eng. Appl. AI 52, 26–39 (2016)

5. Jiang, M., et al.: Text classification based on deep belief network and softmax regression. Neural Comput. Appl. 29(1), 61–70 (2018)

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