Deep natural language processing and AI applications for industry 5.0
"This book is a collection of contributed chapters of latest research findings, ideas, and applications in the fields of Natural Language Processing and their applications, Computational Linguistics, Deep NLP, Web Analysis, Sentiments analysis for business and industry"--
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
Engineering Science Reference, an imprint of IGI Global,
[2021]
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| Series: | Advances in computational intelligence and robotics (ACIR) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Chapter 1. Recent trends in deepfake detection
- Chapter 2. Text mining using Twitter data
- Chapter 3. Analysis report for statistics in the Twitter network
- Chapter 4. Chemical named entity recognition using deep learning techniques: a review
- Chapter 5. Mathematical information retrieval trends and techniques
- Chapter 6. Language processing and Python
- Chapter 7. Creditworthiness assessment using natural language processing
- Chapter 8. NLP for Chatbot application: tools and techniques used for Chatbot application, NLP techniques for Chatbot, implementation
- Chapter 9. Significance of natural language processing in data analysis using business intelligence
- Chapter 10. Deep NLP in the healthcare industry: applied machine learning and artificial intelligence in rheumatoid arthritis
- Chapter 11. Information retrieval in business industry using Blockchain technology and artificial intelligence.