Deep Learning Techniques for Natural Language Processing: Advances and Applications
Abstract
The advent of deep learning has revolutionized natural language processing (NLP), enabling significant advancements in tasks such as machine translation, sentiment analysis, and text generation. This paper provides a comprehensive review of state-of-the-art deep learning techniques in NLP, including recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformers. We discuss the theoretical foundations of these models, their architectural innovations, and their impact on NLP performance. Through case studies, we illustrate the applications of deep learning in various NLP tasks and highlight the challenges, such as data scarcity and computational requirements. The paper concludes with an outlook on future trends and research directions in deep learning for NLP.
References
Yadav, H. (2023). Securing and Enhancing Efficiency in IoT for Healthcare Through Sensor Networks and Data Management. International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-9.
Yadav, H. (2023). Enhanced Security, Privacy, and Data Integrity in IoT Through Blockchain Integration. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Yadav, H. (2023). Advancements in LoRaWAN Technology: Scalability and Energy Efficiency for IoT Applications. International Numeric Journal of Machine Learning and Robots, 7(7), 1-9.
Yadav, H. (2024). Scalable ETL pipelines for aggregating and manipulating IoT data for customer analytics and machine learning. International Journal of Creative Research In Computer Technology and Design, 6(6), 1-30.
Yadav, H. (2024). Anomaly detection using Machine Learning for temperature/humidity/leak detection IoT. International Transactions in Artificial Intelligence, 8(8), 1-18.
Yadav, H. (2024). Structuring SQL/NoSQL databases for IoT data. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-12.
Molli, V. L. P., Kissa, J., Baraniya, D., Gharibi, A., Chen, T., Al-Hebshi, N. N., & Albandar, J. M. (2023). Bacteriome analysis of Aggregatibacter actinomycetemcomitans-JP2 genotype-associated Grade C periodontitis in Moroccan adolescents. Frontiers in Oral Health, 4, 1288499.
Molli, V. L. P. (2024). Enhancing Healthcare Equity through AI-Powered Decision Support Systems: Addressing Disparities in Access and Treatment Outcomes. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-12.
Molli, V. L. P. (2023). Alcohol Consumption and Peri-implantitis: Exploring the Relationship and Implications for Dental Implant Health. International Journal of Sustainable Development in Computing Science, 5(4), 1-11.
Molli, V. L. P. (2023). The Impact of Rheumatoid Arthritis on Peri-implantitis: Mechanisms, Management, and Clinical Implications. International Meridian Journal, 5(5), 1-10.
Molli, V. L. P. (2023). Understanding Vaccine Hesitancy: A Machine Learning Approach to Analyzing Social Media Discourse. International Journal of Medical Informatics and AI, 10(10), 1-14.
Molli, V. L. P. (2023). Blockchain Technology for Secure and Transparent Health Data Management: Opportunities and Challenges. Journal of Healthcare AI and ML, 10(10), 1-15.
Molli, V. L. P. (2023). Predictive Analytics for Hospital Resource Allocation during Pandemics: Lessons from COVID-19. International Journal of Sustainable Development in Computing Science, 5(1), 1-10.
Molli, V. K. P., Penmatsa, G., & Hsiao, C. Y. (2023). The Association of Rheumatoid Arthritis and Systemic Lupus Erythematosus with Failing Implants. SVOA Dentistry, 4, 1-05.
Molli, V. L. P. (2022). Effectiveness of AI-Based Chatbots in Mental Health Support: A Systematic Review. Journal of Healthcare AI and ML, 9(9), 1-11.
Molli, V. L. P. (2021). Exploring the Interplay between Diabetes Mellitus and Peri-implantitis: Mechanisms, Management, and Clinical Implications. International Meridian Journal, 3(3), 1-10.
Molli, V. L. P. (2021). Telemedicine Adoption in Rural Healthcare: Overcoming Barriers and Enhancing Access. International Journal of Holistic Management Perspectives, 2(2), 1-11.
Molli, V. L. P. (2021). Interplay Between Osteoporosis and Periodontitis: A Comprehensive Review of Mechanisms and Clinical Implications. International Journal of Creative Research In Computer Technology and Design, 3(3), 1-20.
Molli, V. L. P. (2021). Mitigating COVID-19 Transmission: A Machine Learning Approach to Contact Tracing Optimization. International Journal of Machine Learning for Sustainable Development, 3(2), 1-10.
Gonaygunta, H. (2023). Factors Influencing the Adoption of Machine Learning Algorithms to Detect Cyber Threats in the Banking Industry. University of the Cumberlands.
Gonaygunta, H., Meduri, S. S., Podicheti, S., & Nadella, G. S. (2023). The Impact of Virtual Reality on Social Interaction and Relationship via Statistical Analysis. International Journal of Machine Learning for Sustainable Development, 5(2), 1-20
Gonaygunta, H., Maturi, M. H., Nadella, G. S., Meduri, K., & Satish, S. (2024). Quantum Machine Learning: Exploring Quantum Algorithms for Enhancing Deep Learning Models. International Journal of Advanced Engineering Research and Science, 11(05).
Gonaygunta, H., Nadella, G. S., Pawar, P. P., & Kumar, D. (2024, May). Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection. In 2024 Systems and Information Engineering Design Symposium (SIEDS) (pp. 79-84). IEEE.
Meduri, K. (2024). Cybersecurity threats in banking: Unsupervised fraud detection analysis. International Journal of Science and Research Archive, 11(2), 915-925.
Meduri, K., Nadella, G. S., Gonaygunta, H., & Meduri, S. S. (2023). Developing a Fog Computing-based AI Framework for Real-time Traffic Management and Optimization. International Journal of Sustainable Development in Computing Science, 5(4), 1-24.
Nadella, G. S., Gonaygunta, H., Meduri, K., & Satish, S. (2023). Adversarial Attacks on Deep Neural Network: Developing Robust Models Against Evasion Technique. Transactions on Latest Trends in Artificial Intelligence, 4(4).
Nadella, G. S., Meduri, S. S., Gonaygunta, H., & Podicheti, S. (2023). Understanding the Role of Social Influence on Consumer Trust in Adopting AI Tools. International Journal of Sustainable Development in Computing Science, 5(2), 1-18.
Nadella, G. S., Satish, S., Meduri, K., & Meduri, S. S. (2023). A Systematic Literature Review of Advancements, Challenges and Future Directions of AI And ML in Healthcare. International Journal of Machine Learning for Sustainable Development, 5(3), 115-130.
Nadella, G. S. (2023). Validating the Overall Impact of IS on Educators in US High Schools Using IS-Impact Model–A Quantitative PLS-SEM Approach. University of the Cumberlands.
Nadella, G. S., & Pillai, S. E. V. S. (2024, March). Examining the Indirect Impact of Information and System Quality on the Overall Educators' Use of E-Learning Tools: A PLS-SEM Analysis. In SoutheastCon 2024 (pp. 360-366). IEEE.
