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

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.58 / 5

Based on 31 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Lawrence Fulton
    Spring 2026, Fall 2025, Spring 2025, Fall 2024, Spring 2024, Midterm Fall 2023 · Official rating 4.68/5

Sections

No current section details are available.