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Inhaltsangabe
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
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
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