Dòng Nội dung
1
Building Ontology Based—0n Heterogeneous Data / Ta Duy Cong Chien, Phan Thi Tuoi // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2015. - P. 149-158. - ISSN:


10 p.
Ký hiệu phân loại (DDC): 005
In this paper. a domain Specific ontology called Information Technology Ontology (ITO) isproposed. This ontology is built basing on three distinct sources of Wikipedia, WordNet and ACMDigital Library. An information extraction system focusing on computing domain based on this on-tology in the future will be built. In order to have an ontology with highest quality and performanceas expected, the authors combine some algorithms between machine learning and natural languageprocessing (NLP) for building ontology.
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2
Hands-On Python Natural Language Processing : Explore tools and techniques to analyze and process text with a view to building real-world NLP applications / Aman Kedia, Mayank Rasu
UK : Packt, 2020
316 tr. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005
This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you'll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world.
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3
Natural Language Processing with Spark NLP : Learning to Understand Text at Scale / Alex Thomas
UK : O'Reilly Media, 2020
364 tr. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005
If you want to build an enterprise-quality application that uses natural language text but arenâ??t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.
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