The digital text has led to new forms of research and is receiving increasing attention from artificial intelligence (AI). The application of machine learning to text, known as text mining, presents unique intellectual challenges that require major contributions from the humanities. This course introduces students to the interdisciplinary domain of text mining through a humanities-based media-theoretic framework. Students will first learn text data prep skills and practices fundamental to meaningful analysis. The semester will later introduce unsupervised machine learning and topic modeling, and culminate in a group project. Not recommended for advanced CS students.