Table | Card | RUSMARC | |
Allowed Actions:
Group: Anonymous Network: Internet |
Annotation
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--.
Document access rights
Network | User group | Action | ||||
---|---|---|---|---|---|---|
ILC SPbPU Local Network | All |
![]() ![]() ![]() |
||||
Internet | Authorized users SPbPU |
![]() ![]() ![]() |
||||
![]() |
Internet | Anonymous |
Table of Contents
- 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
Usage statistics
pdf/2332375.pdf
|
Access count: 0
Last 30 days: 0 Detailed usage statistics |
epub/2332375.epub
|
Access count: 0
Last 30 days: 0 Detailed usage statistics |