My research focuses on the development and application of large language models (LLMs) and advanced AI frameworks within the field of natural language processing (NLP). I am particularly interested in exploring how machine learning and deep learning techniques can enhance text analysis, sentiment detection, and predictive analytics. By examining both traditional sentiment analysis methods and state-of-the-art AI models, I aim to understand their strengths, limitations, and potential for real-world applications. Additionally, my academic interests extend to evaluating the scalability and ethical implications of AI technologies, with a particular focus on bridging theoretical advancements with practical implementations.