EECS 487
Introduction to Natural Language Processing
Fundamental theories and practical methods in natural language processing (NLP). Topics include syntax and parsing, lexical semantics and compositional semantics, discourse analysis, as well as applications in information extraction, sentiment analysis, question answering, summarization, dialogue systems, machine translation, and text generation.
Topics
- syntax and parsing
- lexical semantics and compositional semantics
- discourse analysis
- as well as applications in information extraction
- sentiment analysis
- question answering
- summarization
- dialogue systems
- machine translation
- and text generation
Topics explicitly listed in official catalogue description
Prerequisites & course information
EECS 281; (C or better, No OP/F). Enrollment in one minor elective allowed for Computer Science Minors. (Prerequisites enforced at registration.) (BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Natural Language Processing · 4 · College of Engineering catalogue