Results 11 to 20 of about 39,867,079 (292)
The textcat Package for n -Gram Based Text Categorization in R [PDF]
Journal of Statistical Software, 2013 Identifying the language used will typically be the first step in most natural language processing tasks. Among the wide variety of language identification methods discussed in the literature, the ones employing the Cavnar and Trenkle (1994) approach to ...
Kurt Hornik +5 more
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Text classification method review [PDF]
, 2007 With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh +3 more
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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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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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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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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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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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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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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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Adaptive text mining: Inferring structure from sequences [PDF]
, 2004 Text mining is about inferring structure from sequences representing natural language text, and may be defined as the process of analyzing text to extract information that is useful for particular purposes.
Witten, Ian H.
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