Computational text analysis is widely regarded as the most established subfield of digital humanities. Integrating large-scale information gathering, data analysis, and visualization techniques into a dissertation, scholarly article, or book project—even if done sparingly—can have tremendous benefits. The pathway to integrating these tools, however, can be daunting. This interactive session will focus on well-established methods and exciting new approaches to text analysis, as well as common pathways for skills acquisition and project development. No experience with computer programming or code is needed, as this workshop will focus on surveying approaches and establishing common strategies for implementation. Participants are encouraged to come with a brief description of a project or research question that might benefit from a computational text analysis component.