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Deep natural language processing and AI applications for industry 5.0 Poonam Tanwar, Arti Saxena, C. Priya.

Contributor(s): Tanwar, Poonam, 1979- | Saxena, Arti, 1984- | Priya, C, 1979-Material type: TextTextSeries: Advances in computational intelligence and robotics (ACIR) book seriesPublisher: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2021]Description: 1 online resource (xvii, 240 pages) color illustrationsISBN: 9781799877318; 1799877310; 1799877302; 9781799877301Subject(s): Natural language processing (Computer science) | Industry 4.0 | Natural Language Processing | Traitement automatique des langues naturelles | Industrie 4.0 | Industry 4.0 | Natural language processing (Computer science)Genre/Form: EBSCO eBooks | Electronic books. DDC classification: 006.3/5 LOC classification: QA76.9.N38 | D43 2021Online resources: EBSCOhost
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.
Summary: "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"-- Provided by publisher.
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"Premier Reference Source" -- taken from front cover.

Includes bibliographical references and index.

"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"-- Provided by publisher.

Description based on online resource; title from digital title page (viewed on August 31, 2021).

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.

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