Natural Language Processing | University of Utah CS 6340/5340

Comprehensive NLP course covering fundamentals, techniques, and real-world applications. Hands-on experience, expert instruction, and collaborative learning environment.

Introduction

This course provides a comprehensive introduction to the field of Natural Language Processing (NLP), covering fundamental concepts, techniques, and applications. Students will gain a solid understanding of the core elements of an NLP system, including machine learning basics, tokenization, morphology, word embeddings, and neural networks.

Highlights

• Covers a wide range of topics in Natural Language Processing, from the basics to more advanced techniques
• Hands-on experience with implementing NLP algorithms and models
• Opportunity to work on real-world NLP problems and projects
• Taught by an experienced instructor with expertise in the field
• Collaborative learning environment with access to teaching assistants and resources

Recommendation

This course is recommended for students interested in natural language processing, computational linguistics, or machine learning. It is suitable for both graduate and advanced undergraduate students who want to gain a strong foundation in NLP and its applications. The course is particularly beneficial for those pursuing careers in areas such as natural language processing, text analytics, conversational AI, and language-based information systems.