Results 21 to 30 of about 39,867,079 (292)
Using bag-of-concepts to improve the performance of support vector machines in text categorization [PDF]
, 2004 This paper investigates the use of concept-based representations for text categorization. We introduce a new approach to create concept-based text representations, and apply it to a standard text categorization collection. The representations are used as
Magnus Sahlgren +3 more
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A study on mutual information-based feature selection for text categorization [PDF]
, 2007 Feature selection plays an important role in text categorization. Automatic feature selection methods such as document frequency thresholding (DF), information gain (IG), mutual information (MI), and so on are commonly applied in text categorization ...
Xu, Yang +4 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
doaj
PAAD: POLITICAL ARABIC ARTICLES DATASET FOR AUTOMATIC TEXT CATEGORIZATION
Iraqi Journal for Computers and Informatics, 2020 Now day’s text Classification and Sentiment analysis is considered as one of the popular Natural Language Processing (NLP) tasks. This kind of technique plays significant role in human activities and has impact on the daily behaviours.
Dhafar Hamed Abd +2 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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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.
Hesham Allam +4 more
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Improving Term Weighting Schemes for Short Text Classification in Vector Space Model
IEEE Access, 2019 Short text is one of the predominant forms of communication with unique characteristics such as short length, high sparsity, and lack of shared context and word co-occurrence.
Surender Singh Samant +2 more
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A modular architecture for systematic text categorisation [PDF]
This work examines and attempts to overcome issues caused by the lack of formal standardisation when defining text categorisation techniques and detailing how they might be appropriately integrated with each other.
Barnes, Andrew James
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Distributional Features for Text Categorization [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2006 Text categorization is the task of assigning predefined categories to natural language text. With the widely used 'bag of words' representation, previous researches usually assign a word with values such that whether this word appears in the document concerned or how frequently this word appears. Although these values are useful for text categorization,
Xiao-Bing Xue, Zhi-Hua Zhou
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