Advancements in feature selection and extraction methods for text mining: a review
Abstract Textual data are among the most popular data types that provide useful knowledge today. The need to extract insights from text has initiated and overseen the progression of research in the text mining domain. The challenge of addressing textual data comes from the complexity of text process...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07587-w |
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