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A novel graph kernel algorithm for improving the effect of text classification

delete2025-05-16
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PRE
AI
F
Fan Yang
T
Tan Zhu *
J
Jing Huang
G
Guoqi Xie
DOI:10.1016/j.csl.2025.101818delete
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Abstract

Abstract

En 中文
• A graph-based term weighting scheme addresses textual information underutilization. • Word co-occurrence window graph kernel enhances structural information utilization. • The scheme boosts text classification efficiency while reducing memory usage.
Keywords:
Document similarity measure
Graph kernel
Machine learning
Term weighting
Text classification

Journal

C
Computer Speech and Language
IF:
3.4
Papers:
1.5K
Citations:
2.6K

Organization

H
Hunan University of Science and Technology
Scholars:
1.3K
Papers: 578
Citations: 5.5K
C
Central South University of Forestry and Technology
Scholars:
1.9K
Papers: 532
Citations: 7.5K
H
hunan university
Scholars:
4.5W
Papers: 3.3W
Citations: 70
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