Computational intelligence applications for text and sentiment data analysis. (2023)
- Record Type:
- Book
- Title:
- Computational intelligence applications for text and sentiment data analysis. (2023)
- Main Title:
- Computational intelligence applications for text and sentiment data analysis
- Further Information:
- Note: Edited by Dipankar Das, Anup Kumar Kolya, Abhishek Basu, Soham Sarkar.
- Editors:
- Das, Dipankar
Kolya, Anup Kumar
Basu, Abhishek
Sarkar, Soham, 1982- - Contents:
- 1. Introduction to Text and Sentiment Data Analysis; 2. Natural Language Processing and Sentiment Analysis: Perspectives from Computational Intelligence; 3. Applications and Challenges of Sentiment Analysis in Real Life Scenarios; 4. Emotions Recognition of Students from Online and Offline Texts; 5. Online Social Network Sensing Models; 6. Identifying Sentiments of Hate Speech using Deep Learning; 7. An Annotation System to Summarize Medical Corpus using Sentiment based Models; 8. Deep learning-based Dataset Recommendation System by employing Emotions; 9. Hybrid Deep Learning Architecture Performance on Large English Sentiment Text Data: Merits and Challenges; 10. Human-centered Sentiment Analysis; 11. An Interactive Tutoring System for Older Adults - Learning with New Apps; 12. Irony and Sarcasm Detection; 13. Concluding Remarks
- Publisher Details:
- Amsterdam : Academic Press
- Publication Date:
- 2023
- Extent:
- 1 online resource (350 pages)
- Subjects:
- 006.312
Computational intelligence
Text data mining - Languages:
- English
- ISBNs:
- 9780323906371
- Related ISBNs:
- 9780323905350
- Notes:
- 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.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.799043
- Ingest File:
- 20_052.xml