Text Analysis for the Social Sciences

4 Credits

Provides the fundamentals for designing and conducting computational text analysis projects from a social scientific perspective. We will touch on several advanced topics in this rapidly growing field, such as web scraping, sentiment analysis, classifiers, structural topic modeling, text networks, machine learning, natural language processing, and word embeddings. Hands-on analysis in the R statistical computing environment will be integral to the course, though no prior coding experience is required. Attribute/Distribution: Q, SS, SW