Neural networks for natural language processing
"This book examines natural language processing models and algorithms using traditional symbolic and more recent statistical approaches"--
| Другие авторы: | , |
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| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Hershey PA
Engineering Science Reference, an imprint of IGI Global,
[2020]
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| Серии: | Advances in computer and electrical engineering (ACEE) book series.
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| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Оглавление:
- 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.