Machine learning and deep learning in natural language processing. (2023)
- Record Type:
- Book
- Title:
- Machine learning and deep learning in natural language processing. (2023)
- Main Title:
- Machine learning and deep learning in natural language processing
- Further Information:
- Note: Edited by Anitha S. Pillai, Roberto Tedesco.
- Editors:
- Pillai, Anitha S, 1967-
Tedesco, Roberto - Contents:
- <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Introduction; ; Part 1. Introduction ; ; 1. Introduction to ML and DL in NLP ; Anitha S. Pillai and Roberto Tedesco <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 2. Overview of Conversational Agents; ; 2. Conversational Agents and Chatbots: Current Trends ; Alwin Joseph, Naived George Eapen; ; 3. Unsupervised Hierarchical Model for Deep Empathetic Conversational Agents ; Vincenzo Scotti <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 3. Sentiment and Emotions; ; 4. EMOTRON: An Expressive Text-to-Speech ; Cristian Regna, Licia Sbattella, Vincenzo Scotti, Alexander Sukhov and Roberto Tedesco; ; Part 4. Fake News and Satire; ; 5. Fake News Classification using Deep Learning Vs. Machine Learning Techniques ; Nagendra Nagaraj, Chandra J; ; 6. Distinguishing Satirical and Fake News ; Anna Giovannacci, Mark J. Carman; ; 7. Automated Techniques for Identifying Fake News and Assisting Fact Checkers ; Stefano Agresti, Mark J. Carman <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 5. Applications in Healthcare; ; 8. Whisper Restoration Combining Real and Source-model Filtered Speech for Clinical and Forensic ; Applications ; Francesco Roberto Dani, Sonia Cenceschi,<p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Introduction; ; Part 1. Introduction ; ; 1. Introduction to ML and DL in NLP ; Anitha S. Pillai and Roberto Tedesco <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 2. Overview of Conversational Agents; ; 2. Conversational Agents and Chatbots: Current Trends ; Alwin Joseph, Naived George Eapen; ; 3. Unsupervised Hierarchical Model for Deep Empathetic Conversational Agents ; Vincenzo Scotti <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 3. Sentiment and Emotions; ; 4. EMOTRON: An Expressive Text-to-Speech ; Cristian Regna, Licia Sbattella, Vincenzo Scotti, Alexander Sukhov and Roberto Tedesco; ; Part 4. Fake News and Satire; ; 5. Fake News Classification using Deep Learning Vs. Machine Learning Techniques ; Nagendra Nagaraj, Chandra J; ; 6. Distinguishing Satirical and Fake News ; Anna Giovannacci, Mark J. Carman; ; 7. Automated Techniques for Identifying Fake News and Assisting Fact Checkers ; Stefano Agresti, Mark J. Carman <p class="MsoNormal" style="border: none; mso-padding-alt: 31.0pt 31.0pt 31.0pt 31.0pt; mso-border-shadow: yes;">Part 5. Applications in Healthcare; ; 8. Whisper Restoration Combining Real and Source-model Filtered Speech for Clinical and Forensic ; Applications ; Francesco Roberto Dani, Sonia Cenceschi, Alice Albanesi, Elisa Colletti, Alessandro Trivilini; ; 9. An Analysis of Features for Machine Learning Approaches to Parkinson's Disease Detection ; Claudio Ferrante, Bindu Menon, Anitha S. Pillai, Licia Sbattella, Vincenzo Scotti; ; 10. Conversational Agents, Natural Language Processing, and Machine Learning for Psychotherapy ; Licia Sbattella … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (228 pages), illustrations (black and white, and colour)
- Subjects:
- 006.35
Natural language processing (Computer science)
Machine learning
Deep learning (Machine learning) - Languages:
- English
- ISBNs:
- 9781000960891
- Notes:
- Note: Includes bibliographical references.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.809596
- Ingest File:
- 21_024.xml