Sentiment Analysis Unveiled
CRC Press (Verlag)
978-1-032-82495-6 (ISBN)
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This book is a comprehensive exploration into the realm of sentiment analysis. From deciphering customer sentiments for businesses to understanding public opinions on social media or predicting market trends, the applications are multifaceted and impactful.
Sentiment Analysis Unveiled: Techniques, Applications, and Innovations is more than just algorithms and models; it's about unraveling the emotions, opinions, and perceptions encapsulated within the vast sea of textual data. The book explores topics from opinion mining, social media analysis, deep learning, security concerns, healthcare systems, and it also delves into the ethical and legal implications of sentiment analysis. Through practical examples, case studies, and discussions on cutting-edge innovations, the editors aim is to provide a holistic view that empowers you to navigate this field confidently. It involves the analysis of user-generated content, deciphering sentiments expressed on platforms like Twitter and Facebook and provides valuable insights into public opinion, brand perception, and emerging trends in the digital landscape.
The book is intended for professionals, researchers, and scientists in the field of Artificial Intelligence, and sentiments analysis, it will serve as a valuable resource for both beginners and experienced professionals in the field.
Neha Nandal has served as an Associate Professor in Computer Science and Engineering for over 8 years. Before that, she completed a PhD in Machine Learning. She is a lifetime member of IETA and of the IEEE Computer Society, Hyderabad Section. Her research interests are pattern recognition and machine learning. Rohit Tanwar received his bachelor’s degree and PhD, in CSE, from Kurukshetra University. He received his master’s degree from the YMCA University of Science and Technology. He has over 10 years of experience in teaching and is currently an Associate Professor in the School of Computer Science at UPES Dehradun. His areas of research include network security, optimization techniques, human computing, soft computing, cloud computing, and data mining. He also supervises PhD research scholars in the fields of network security, automatic target recognition, and healthcare. Varun Sapra is presently at the School of Computer Science at the University of Petroleum and Energy Studies. Dr. Sapra received his PhD in Computer Science & Engineering from Jagannath University. He has 17 years of combined experience in both industry and academia. Before joining academics, he was in the corporate sector and worked in companies like Cupid Software, WebOpac Applications, and CMA. His research areas include machine learning, decision support systems, case-based reasoning, and self-organizing maps.
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.
| Erscheint lt. Verlag | 2.4.2025 |
|---|---|
| Reihe/Serie | Edge AI in Future Computing |
| Zusatzinfo | 20 Tables, black and white; 18 Line drawings, black and white; 29 Halftones, black and white; 47 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-032-82495-6 / 1032824956 |
| ISBN-13 | 978-1-032-82495-6 / 9781032824956 |
| Zustand | Neuware |
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