1. Adhikari, A., Ram, A., Tang, R., Lin, J.: Rethinking complex neural network architectures for document classification. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 4046–4051 (2019)
2. Atanasova, P., Simonsen, J.G., Lioma, C., Augenstein, I.: A diagnostic study of explainability techniques for text classification. arXiv preprint arXiv:2009.13295 (2020)
3. Bedi, G.: Simple guide to text classification (NLP) using SVM and Naive Bayes with python. Medium, July 2019
4. Beltagy, I., Peters, M.E., Cohan, A.: Longformer: the long-document transformer (2020)
5. Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly Media, Inc., Newton (2009)