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Neural networks for natural language...

S., Sumathi, (1979-)

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Neural networks for natural language processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neural networks for natural language processing/ Sumathi S, Janani M, editors.
other author:	S., Sumathi,
Published:	Hershey, Pennsylvania :IGI Global, : 2020.,
Description:	21 PDFs (227 pages)
[NT 15003449]:	Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.
Subject:	Natural language processing (Computer science) -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6
ISBN:	9781799811619 (ebk.)

Neural networks for natural language processing
Neural networks for natural language processing[electronic resource] /Sumathi S, Janani M, editors. - Hershey, Pennsylvania :IGI Global,2020. - 21 PDFs (227 pages)

Includes bibliographical references and index.

Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.

"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--

ISBN: 9781799811619 (ebk.)Subjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38 / N4785 2020e

Dewey Class. No.: 006.3/2

Neural networks for natural language processing
LDR:02026nmm a2200265 a 4500 001 2246893
003 IGIG
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006 m o d
007 cr cn
008 211227s2020 pau fob 001 0 eng d
020 $a 9781799811619 (ebk.)
020 $a 9781799811596 (hbk.)
020 $a 9781799811602 (pbk.)
035 $a (OCoLC)1131099399
035 $a 1101012249
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a QA76.9.N38 $b N4785 2020e
082 0 0 $a 006.3/2 $2 23
245 0 0 $a Neural networks for natural language processing $h [electronic resource] / $c Sumathi S, Janani M, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2020.
300 $a 21 PDFs (227 pages)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Deep learning network: deep neural networks -- Chapter 2. A journey from neural networks to deep networks: comprehensive understanding for deep learning -- Chapter 3. Current trends in deep learning frameworks with opportunities and future prospectus -- Chapter 4. Emotion recognition from speech using perceptual filter and neural network -- Chapter 5. Ontology creation -- Chapter 6. Semantic similarity using register linear question classification (RLQC) for question classification -- Chapter 7. Knowledge graph generation -- Chapter 8. Develop a neural model to score bigram of words using bag-of-words model for sentiment analysis -- Chapter 9. Deep learning approach for extracting catch phrases from legal documents -- Chapter 10. Enhanced sentiment classification using recurrent neural networks -- Chapter 11. Natural language processing-based information extraction and abstraction for lease documents -- Chapter 12. Neural network applications in hate speech detection.
520 3 $a "This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"-- $c Provided by publisher.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Neural networks (Computer science) $3 532070
700 1 $a S., Sumathi, $d 1979- $3 3510680
700 1 $a M., Janani, $d 1988- $3 3510681
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1159-6