Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance
In recent years, optimizing classification pipelines has become increasingly critical due to the growing volume of textual data and the computational challenges associated with exhaustive hyperparameter tuning. This paper proposes a similarity-based approach for selecting the most promising vectoriz...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11108167/ |
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