ANLY 540 - Natural Language Processing: Semantic Representations

(3 semester hours)
Prerequisites: ANLY 500
Description: This course is an introduction to computational language models with a focus on semantic representations. Using methods such as topic models and sentiment analysis, the goal of the course is to show how insights can be derived from text focusing on semantic information. Topics range from basic visualizations of text data to text-based recommendation systems. The topics in this course have real-world applications to gaining insight into human attitudes and behaviors across domains.