Results 31 to 40 of about 39,867,079 (292)
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
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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 +3 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
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
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
A NOVEL TERM WEIGHTING SCHEME MIDF FOR TEXT CATEGORIZATION [PDF]
Journal of Engineering Science and Technology, 2010 Text categorization is a task of automatically assigning documents to a set of predefined categories. Usually it involves a document representation method and term weighting scheme.
C. DEISY +4 more
doaj
A Customizable Text Classifier for Text Mining
Data Science Journal, 2007 Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically.
Yun-liang Zhang, Quan Zhang
doaj +1 more source