ADAN 7431 Natural Language Processing
Course Description: This course introduces students to natural language processing (NLP) concepts and methods. Students will learn how to conduct both supervised and unsupervised NLP. The course covers 1) the basics of NLP, 2) text (document) classification, 3) text summarization, 4) text similarity & clustering, 5) semantic analysis, 6) sentiment analysis, and 7) deep learning approaches (Recurrent Neural Networks and transformer-based architecture.
Course overview
- Department
- Advancing Studies
- School
- ADV
- Credits
- 3
- Level
- Graduate
- Offered
- Periodically
Catalog details
- Prerequisites
- ADEC7220 or ADAN7220 and ADEC7301/ADAN7301 and ADAN7430 or ADEC7430 and ADAN7905/ADEC7905
Requirements fulfilled
No source-backed degree requirement is attached to this course yet.
Official evaluation summary
4.58 / 5
Data freshness
Instructors
Sections
No current section details are available.