DADS 7500 — Natural Language Processing for Interdisciplinary Applications
4 semester hoursGraduateLecture
Offers an in-depth exploration of natural language processing techniques, their underlying principles, and their interdisciplinary applications across domains such as engineering, business, healthcare, and the social sciences. Emphasizes the practical implementation of NLP methods—including word embeddings, neural networks, attention mechanisms, and advanced deep learning models—to analyze and solve real-world problems involving unstructured text data.