Neural networks for natural language processing / Sumathi S, Janani M, editors.

Format:

Book

Author/Creator:

S., Sumathi, 1979- author.

Contributor:

S., Sumathi, 1979- editor.

M., Janani, 1988- editor.

Series:

Advances in computer and electrical engineering (ACEE) book series.

Advances in computer and electrical engineering (ACEE) book series

Language:

English

Subjects (All):

Natural language processing (Computer science).

Neural networks (Computer science).

Physical Description:

21 PDFs (227 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2020]

System Details:

Mode of access: World Wide Web.

Summary:

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

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.

Notes:

Includes bibliographical references and index.

ISBN:

1-5231-2894-1

1-7998-1161-1

OCLC:

1131099399