Natural Language Processing and Artificial Intelligence

1. Natural Language Processing and Artificial Intelligence: A Perspective Towards Current Trends, Challenges, and Applications 2. Artificial Intelligence-Based NLP: Methods, Trends, and Challenges 3. Exploring the Synergy of Machine Learning and Natural Language Processing 4. Navigating the AI Landscape: Architectures and Algorithms for Natural Language Processing 5. Bridging Language Structure and Deep Learning Models: A Comprehensive Exploration of Natural Language Processing 6. Artificial Intelligence Architectures and Algorithms in Natural Language Processing Ecosystems 7. Classification of Real and Fake News Using Machine Learning and Deep Learning Techniques 8. Unleashing the Power of Big Data: Information Retrieval and Text Mining Strategies 9. Reconciliation of Emotional Intelligence with Artificial Intelligence for Augmenting Organizational Effectiveness: A Conceptual Model 10. Innovations in Future Mobility and Intelligent Virtual Assistants: Lensing Machine Learning AI-Based Chatbots for Digital Users 11. FedNLP: Secure and Efficient Federated Learning Using NLP: Architecture, Challenges, and Solutions 12. LLMS-Based Human-Like Content Creation, Including Articles, Social Media Posts, and Marketing Content 13. LLMS-Powered Chatbots and Virtual Assistants for Interactive and Human-Like Interactions 14. TrOCR-Med: Revolutionizing Medical Data Handling with Transformer-Based Handwritten Optical Character Recognition and Extraction 15. Speech Emotion Detection Using Deep Learning