Joint coordinate attention mechanism and instance normalization for COVID online comments text classification
Empirical evaluations demonstrate that the proposed model achieves a significant improvement in classification performance, outperforming existing methodologies. This enhancement is quantitatively evidenced by its superior micro-F1 score, indicating the efficacy of integrating label information into text classification processes. This suggests that the model not only addresses computational inefficiencies but also enhances the accuracy of text classification.
Authors
- Hua-Hui Gao
- Yong Wang (ORCID: https://orcid.org/0000-0002-8140-9486)
- Rong Zhu (ORCID: https://orcid.org/0000-0003-4019-8587)
Institutions
- Qufu Normal University (CN)
Publication Details
- Journal
- PeerJ Computer Science
- Published
- 2024-08-19
- DOI
- https://doi.org/10.7717/peerj-cs.2240
- Citations
- 2
- Primary Topic
- Text and Document Classification Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.69