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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Joint coordinate attention mechanism and instance normalization for COVID online comments text classification

Hua-Hui Gao, Yong Wang, Rong Zhu
2 citations
PeerJ Computer Science
Text and Document Classification Technologies
0.69
article

Joint coordinate attention mechanism and instance normalization for COVID online comments text classification

Hua-Hui Gao, Yong Wang, Rong Zhu
article en
2 citations

Abstract

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.

PeerJ Computer ScienceVol. 10
Qufu Normal University (CN)
Quality Education
Openalex Percentile: Top 25%
Text and Document Classification Technologies
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.