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

• Cover
• Title Page
• Copyright Page
• Book Series
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Acknowledgment
• Chapter 1: Deep Learning Network
• Chapter 2: A Journey From Neural Networks to Deep Networks
• 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
• Compilation of References
• About the Contributors
• Index