Format:
1 Online-Ressource
ISBN:
9781799811619
Content:
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--
Note:
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
Additional Edition:
Erscheint auch als Druck-Ausgabe, hardcover ISBN 978-1-7998-1159-6
Additional Edition:
Erscheint auch als Druck-Ausgabe, softcover ISBN 978-1-7998-1160-2
Language:
English
URL:
Volltext
(URL des Erstveröffentlichers)
