Results 21 to 30 of about 54,658 (262)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +1 more source
Neural Text Categorizer for Exclusive Text Categorization
Journal of Information Processing Systems, 2008 This research proposes a new neural network for text categorization which uses alternative representations of documents to numerical vectors. Since the proposed neural network is intended originally only for text categorization, it is called NTC (Neural Text Categorizer) in this research.
openaire +2 more sources
Domain kernels for text categorization [PDF]
Proceedings of the Ninth Conference on Computational Natural Language Learning - CONLL '05, 2005 In this paper we propose and evaluate a technique to perform semi-supervised learning for Text Categorization. In particular we defined a kernel function, namely the Domain Kernel, that allowed us to plug "external knowledge" into the supervised learning process.
Alfio Massimiliano Gliozzo +1 more
openaire +2 more sources
Categorization of Unorganized Text Corpora for better Domain-Specific Language Modeling
Advances in Electrical and Electronic Engineering, 2013 This paper describes the process of categorization of unorganized text data gathered from the Internet to the in-domain and out-of-domain data for better domain-specific language modeling and speech recognition.
Jan Stas +3 more
doaj +1 more source
HeliyonVideo content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels ...
Ali Raza +6 more
doaj +1 more source
Using Statistical Properties to Enhance Text Categorization [PDF]
Journal of Systemics, Cybernetics and Informatics, 2015 Statistical properties extracted from text are useful in many areas. Knowing who authored some text or knowing the category of a text is among the uses of collecting such statistics.
Rached Zantout, Ziad Osman
doaj
Text Classification Algorithms: A Survey
Information, 2019 In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to accurately classify texts in many applications.
Kamran Kowsari +5 more
doaj +1 more source