Computational Intelligence Applications for Text and Sentiment Data Analysis (eBook, ePUB)
Redaktion: Das, Dipankar; Sarkar, Soham; Basu, Abhishek; Kolya, Anup Kumar
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Computational Intelligence Applications for Text and Sentiment Data Analysis (eBook, ePUB)
Redaktion: Das, Dipankar; Sarkar, Soham; Basu, Abhishek; Kolya, Anup Kumar
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Approx.330 pages
Approx.330 pages
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Approx.330 pages
Approx.330 pages
Approx.330 pages
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Produktdetails
- Produktdetails
- Verlag: Elsevier Science & Techn.
- Seitenzahl: 350
- Erscheinungstermin: 14. Juli 2023
- Englisch
- ISBN-13: 9780323906371
- Artikelnr.: 68429164
- Verlag: Elsevier Science & Techn.
- Seitenzahl: 350
- Erscheinungstermin: 14. Juli 2023
- Englisch
- ISBN-13: 9780323906371
- Artikelnr.: 68429164
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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
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
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
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