The A REVIEW OF TEXT CATEGORIZATION ALGORITHMS USING THE MACHINE LEARNING PARADIGM
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Abstract
Automatic classification of text documents has recently been a hot topic in research. Information retrieval, machine learning, and natural
language processing (NLP) techniques are required for proper classification of text materials. Our goal is to concentrate on three major
approaches to automatic text classification using machine learning techniques: supervised, unsupervised, and semi-supervised. This paper
reviews various text categorization algorithms using the machine learning paradigm in this study. We hope that our research will shed light on
the relationships between various text classification techniques as well as the future research trend in this field
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