Results 11 to 20 of about 54,658 (262)
A Superior Arabic Text Categorization Deep Model (SATCDM)
IEEE Access, 2020 Categorizing Arabic text documents is considered an important research topic in the field of Natural Language Processing (NLP) and Machine Learning (ML).
M. Alhawarat, Ahmad O. Aseeri
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Noisy text categorization [PDF]
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004 This work presents categorization experiments performed over noisy texts. By noisy, we mean any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g., transcriptions of speech recordings extracted with a recognition system).
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Sparse representations for text categorization [PDF]
Interspeech 2010, 2010 Sparse representations (SRs) are often used to characterize a test signal using few support training examples, and allow the number of supports to be adapted to the specific signal being categorized. Given the good performance of SRs compared to other classifiers for both image classification and phonetic classification, in this paper, we extended the ...
Tara N. Sainath +5 more
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Categorization and Conceptualization of Space in Descriptive Text
Научный диалог, 2020 The relevance of the article is due to the importance of studying spatial semantics in the new scientific paradigm. The possibility of studying genre varieties of description (description-landscape, description-interior, description-portrait, description
Y. N. Varfolomeeva
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An efficient approach for textual data classification using deep learning
Frontiers in Computational Neuroscience, 2022 Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data.
Abdullah Alqahtani +6 more
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Cross-Lingual Text Categorization [PDF]
, 2003 This article deals with the problem of Cross-Lingual Text Categorization (CLTC), which arises when documents in different languages must be classified according to the same classification tree. We describe practical and cost-effective solutions for automatic Cross-Lingual Text Categorization, both in case a sufficient number of training examples is ...
Bel Rafecas, Núria +2 more
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Parallel noise eliminate: A parallel noise elimination algorithm for massive text categorization
Journal of Algorithms & Computational Technology, 2018 Noise data in text are one of the main factors affecting the quality of text categorization. A parallel noise data elimination algorithm based on principal component analysis method and term frequency-inverse document frequency method for the noise data ...
Xiaojuan Hu +3 more
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Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
Mathematics, 2022 In this paper, we introduce a multi-label lazy learning approach to deal with automatic semantic indexing in large document collections in the presence of complex and structured label vocabularies with high inter-label correlation. The proposed method is
Francisco J. Ribadas-Pena +2 more
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Text Categorization with Latent Dirichlet Allocation [PDF]
Journal of Electrical and Electronics Engineering, 2014 This paper focuses on the text categorization of Slovak text corpora using latent Dirichlet allocation. Our goal is to build text subcorpora that contain similar text documents.
ZLACKÝ Daniel +3 more
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Keyword extraction for text categorization [PDF]
Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., 2005 Text categorization (TC) is one of the main applications of machine learning. Many methods have been proposed, such as Rocchio method, Naive bayes based method, and SVM based text classification method. These methods learn labeled text documents and then construct a classifier. A new coming text document's category can be predicted.
Jiyuan An, Yi-Ping Phoebe Chen
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