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SANAD: Single-label Arabic News Articles Dataset for automatic text categorization. [PDF]
Data Brief, 2019 Text Classification is one of the most popular Natural Language Processing (NLP) tasks. Text classification (aka categorization) is an active research topic in recent years.
Einea O, Elnagar A, Al Debsi R.
europepmc +2 more sources
Improved feature-selection method considering the imbalance problem in text categorization. [PDF]
ScientificWorldJournal, 2014 The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. Most of filtering feature-selection algorithms evaluate the significance of a feature for category based on ...
Yang J, Qu Z, Liu Z.
europepmc +2 more sources
Text Classification: How Machine Learning Is Revolutionizing Text Categorization
InformationThe automated classification of texts into predefined categories has become increasingly prominent, driven by the exponential growth of digital documents and the demand for efficient organization. This paper serves as an in-depth survey of text classification and machine learning, consolidating diverse aspects of the field into a single, comprehensive ...
Hesham Allam +4 more
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Genetic algorithm rule based categorization method for textual data mining [PDF]
Decision Science Letters, 2020 The rule based categorization approaches such as associative classification have the capability to produce classifiers rival to those learned by traditional categorization approaches such as Naïve Bayes and K-nearest Neighbor. However, the lack of useful
Mohammed H. Afif +4 more
doaj +1 more source
Text categorization with WEKA: A survey
Machine Learning with Applications, 2021 This work shows the use of WEKA, a tool that implements the most common machine learning algorithms, to perform a Text Mining analysis on a set of documents.
Donatella Merlini, Martina Rossini
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Text Categorization Based on Topic Model [PDF]
International Journal of Computational Intelligence Systems, 2009 In the text literature, many topic models were proposed to represent documents and words as topics or latent topics in order to process text effectively and accurately.
Shibin Zhou, Kan Li, Yushu Liu
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Exploiting Ontology Recommendation Using Text Categorization Approach
IEEE Access, 2021 Semantic Web is considered as the backbone of web 3.0 and ontologies are an integral part of the Semantic Web. Though an increase of ontologies in different domains is reported due to various benefits which include data heterogeneity, automated ...
Muhammad Azeem Sarwar +7 more
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Genre Classification of Books on Spanish
IEEE Access, 2023 Genre categorization of published titles is a common practice in publishing houses, libraries, and bookstores, as well as a fundamental element of editorial marketing.
Juan Arturo Nolazco-Flores +3 more
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A DEEP AUTOENCODER-BASED REPRESENTATION FOR ARABIC TEXT CATEGORIZATION
Journal of ICT, 2020 Arabic text representation is a challenging assignment for several applications such as text categorization and clustering since the Arabic language is known for its variety, richness and complex morphology.
Fatima-Zahra El-Alami +3 more
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Sequential patterns for text categorization [PDF]
Intelligent Data Analysis, 2006 Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are generally considered as bags of words without any order. Although these approaches have proven to be efficient, they do not provide users with comprehensive and reusable ...
Jaillet, Simon +2 more
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