A non-redundant feature selection method for text categorization based on term co-occurrence frequency and mutual information
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15876-y.pdf
Reference55 articles.
1. Attieh J, Tekli J (2023) Supervised term-category feature weighting for improved text classification. Knowl-Based Syst 261:110215. https://doi.org/10.1016/j.knosys.2022.110215
2. Basu A, Watters C, Shepherd M (2003) Support vector machines for text categorization. In: 36th Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2003.1174243
3. Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Netw 5(4):537–550. https://doi.org/10.1109/72.298224
4. Bell A (2003) The co-information lattice. In: 4th Int. Symp. Independent Component Analysis and Blind Source Separation
5. Chen J, Huang H, Tian S, Qu Y (2009) Feature selection for text classification with Naïve Bayes. Expert Sys Appl 36(3):5432–5435. https://doi.org/10.1016/j.eswa.2008.06.054
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