A novel feature and class-based globalization technique for text classification
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/s11042-023-15459-x.pdf
Reference36 articles.
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2. Agnihotri D, Verma K, Tripathi P, Singh BK (2019) Soft voting technique to improve the performance of global filter based feature selection in text corpus. Appl Intell 49(4):1597–1619
3. Ahmed B (2020) Wrapper feature selection approach based on binary firefly algorithm for spam e-mail filtering. J Soft Comput Data Min 1(2):44–52
4. Asuncion A, Newman D (2007) UCI machine learning repository. https://archive.ics.uci.edu/ml/index.php
5. Debole F, Sebastiani F (2004) Supervised term weighting for automated text categorization. Text mining and its applications. Springer, Berlin, pp 81–97
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