Sentiment Analysis Unveiled : Techniques, Applications, and Innovations (Hardcover)

0. Prelims.? 1. Enhancing Sentiment Analysis through Supervised Machine Learning Techniques.? 2. A Multimodal Sentiment Analysis Framework for Textual and Visual Cues.? 3. Multimodal Sentiment Analysis Applications in Healthcare: Enhancing Patient Care and Insights.? 4. Sentiment Analysis-Based Smart Support Assistant.? 5. Leveraging LSTM Networks for Predicting User Demand in the Fast-Moving Consumer Goods Market.? 6. Advancing Domain-Specific Adaptations of Large Language Models through Transfer Learning and Fine-Tuning Techniques: An Analytical Study.? 7. Sentiment Analysis of Social-Media Content on COVID-19 Vaccine.? 8. A Survey on Detection of Deepfake Text using Machine Learning Models.? 9. Exploring emotions in textual data: Enhancing analysis through POS tagging and visual representation.? 10. A Comprehensive Review of Catastrophic Forgetting in Text Processing: Challenges, Mitigation Strategies, and Future Directions.? 11. The applications of the Metaverse stages in Language Teaching strengthening learners’ competencies to reflect promptly and sentiment analysis implemented in the acquisition of foreign languages.? 12. Knowledge representation in Artificial Intelligence and structure of expert system with inference rules.? 13. Exploring Transfer Learning Paradigms in Practical Contexts.??