ADAN7431 · Advancing Studies
ADV
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 experience
Averages use the original five-point historical evaluation scale.
Organization
4.6 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
3.9 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~8
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionFall 2024
1 sectionSpring 2024
1 sectionMidterm Fall 2023
1 section