Neural networks for natural language processing

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

Bibliographic Details
Other Authors:	S., Sumathi, 1979-, M., Janani, 1988-
Format:	eBook
Language:	English
Published:	Hershey PA Engineering Science Reference, an imprint of IGI Global, [2020]
Series:	Advances in computer and electrical engineering (ACEE) book series.
Subjects:	Natural language processing (Computer science) Neural networks (Computer science) EBSCO eBooks Electronic books.
Online Access:	EBSCOhost Перейти в каталог НБ ТГУ

Table of Contents:

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.

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