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A novel graph kernel algorithm for improving the effect of text classification
DOI:10.1016/j.csl.2025.101818.png)
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
IF:
3.4
Papers:
1.5K
Citations:
2.6K

