Wrapper and Hybrid Feature Selection Methods Using Metaheuristic Algorithms for English Text Classification: A Systematic Review
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DOI: 10.1109/access.2022.3165814
Abstract: Feature selection (FS) constitutes a series of processes used to decide which relevant features/attributes to include and which irrelevant features to exclude for predictive modeling. It is a crucial task that aids machine learning classifiers… read more here.
Keywords: classification; metaheuristic algorithms; wrapper hybrid; text classification ... See more keywords