BoW-based neural networks vs. cutting-edge models for single-label text classification

Author:

Abdalla Hassan I.,Amer Ali A.ORCID,Ravana Sri Devi

Funder

Zayed University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference62 articles.

1. Frank M, Drikakis D, Charissis V (2020) Machine-learning methods for computational science and engineering. Computation 8(1):15

2. Abdalla HI, Amer AA (2022) On the integration of similarity measures with machine learning models to enhance text classification performance. Inf Sci 614:263–288

3. Diera A, Lin BX, Khera B, Meuser T, Singhal T, Galke L, Scherp A (2022) Bag-of-words vs. sequence vs. graph vs. hierarchy for single-and multi-label text classification. arXiv preprint arXiv:2204.03954

4. Wu F, Souza A, Zhang T, Fifty C, Yu T, Weinberger, K (2019) Simplifying graph convolutional networks. In International conference on machine learning (pp. 6861–6871). PMLR

5. Zhu, H., & Koniusz, P. (2021, May). Simple spectral graph convolution. In International conference on learning representations

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