This course provides an introduction to computational methods in textual analysis, specifically designed for those in the field of communication research. This course is practical and hands-on in nature and focuses on theoretical and empirical questions we can ask with text-as-data from a social science perspective and learn how to answer them. The course contentcovers data scraping, text data cleaning and preprocessing, dictionary- based analysis, unsupervised topic modeling, supervised text classification, the use of large language models, and techniques for ieffective visualization and reporting of findings. Basic Python or R knowledge would be beneficial, but advanced programming skills not needed.