Semantic Meaning Based Bengali Web Text Categorization Using Deep Convolutional and Recurrent Neural Networks (DCRNNs)-Reference-Cited by-同舟云学术

Semantic Meaning Based Bengali Web Text Categorization Using Deep Convolutional and Recurrent Neural Networks (DCRNNs)

Published:2021 Issue: Volume: Page:494-505
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Hossain Md. Rajib,Hoque Mohammed Moshiul

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76736-5_45

Reference22 articles.

1. Dhar, A., Dash, N.S., Roy, K.: Classification of Bangla text documents based on inverse class frequency. In: 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Bhimtal, India, 05 November, pp. 1–6 (2018)

2. Dhar, A., Dash, N.S., Roy, K.: Categorization of Bangla web text documents based on TF-IDF-ICF text analysis. In: Social Transformation - Digital Way CSI, vol. 836. Springer, Singapore (2018)

3. Stein, R.A., Jaques, P.A., Valiati, J.F.: An analysis of hierarchical text classification using word embeddings. Journal of CoRR, vol. abs/1809.01771 (2018)

4. Liu, H., Burnap, P., Alorainy, W., Williams, M.L.: A fuzzy approach to text classification with two-stage training for ambiguous instances. IEEE Trans. Comput. Soc. Syst. 6, 227–240 (2019)

5. Cotterell, R., Schütze, H.: Morphological Word Embeddings. American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.1287–1292 (2019)

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