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010   $a981-9919-99-1
024 7 $a10.1007/978-981-99-1999-4
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035   $a(MiAaPQ)EBC30943291
035   $a(Au-PeEL)EBL30943291
035   $a(DE-He213)978-981-99-1999-4
035   $a(EXLCZ)9928852989700041
100   $a20231114d2024      u|             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aNatural Language Processing$b[electronic resource] $eA Textbook with Python Implementation /$fby Raymond S. T. Lee
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (454 pages)
311 08$a9789819919987 
327   $aPart I ? Concepts and Technology -- Chapter 1. Introduction to Natural Language Processing -- Chapter 2. N-gram Language Model -- Chapter 3. Part-of-Speech Tagging -- Chapter 4. Syntax and Parsing -- Chapter 5. Meaning Representation -- Chapter 6. Semantic Analysis -- Chapter 7. Pragmatic Analysis and Discourse -- Chapter 8. Transfer Learning and Transformer Technology -- Chapter 9. Major Natural Language Processing Applications -- Part II ?Natural Language Processing Workshops with Python Implementation in 14 Hours -- Chapter 10. Workshop#1 ? Basics of Natural Language Toolkit (Hour 1-2) -- Chapter 11. Workshop#2 ? N-grams Modeling with Natural Language Toolkit (Hour 3-4) -- Chapter 12. Workshop#3 ? Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6) -- Chapter 13. Workshop#4 ? Semantic Analysis and Word Vectors using spaCy (Hour 7-8) -- Chapter 14. Workshop#5 ? Sentiment Analysis and Text Classification (Hour 9-10) -- Chapter 15. Workshop#6 ? Transformers with spaCy and TensorFlow (Hour 11-12) -- Chapter 16. Workshop#7 ? Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).
330   $aThis textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.
606   $aNatural language processing (Computer science)
606   $aArtificial intelligence
606   $aComputational intelligence
606   $aMachine learning
606   $aPython (Computer program language)
606   $aArtificial intelligence$xData processing
606   $aNatural Language Processing (NLP)
606   $aArtificial Intelligence
606   $aComputational Intelligence
606   $aMachine Learning
606   $aPython
606   $aData Science
615  0$aNatural language processing (Computer science).
615  0$aArtificial intelligence.
615  0$aComputational intelligence.
615  0$aMachine learning.
615  0$aPython (Computer program language).
615  0$aArtificial intelligence$xData processing.
615 14$aNatural Language Processing (NLP).
615 24$aArtificial Intelligence.
615 24$aComputational Intelligence.
615 24$aMachine Learning.
615 24$aPython.
615 24$aData Science.
676   $a006.35
700   $aLee$b Raymond S. T$0894270
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801  2$bMiAaPQ
906   $aBOOK
912   $a9910763593503321
996   $aNatural Language Processing$93601279
997   $aUNINA