Text Mining

1.5 units

Text data is everywhere—product reviews, social media posts, surveys, customer service chats, publications, and more. Organizations use text analytics to uncover consumer attitudes, track competitors, manage risk, improve customer relationships, and inform data-driven decisions in business or public policy. This course introduces students to natural language processing methods through hands-on projects that organize, summarize, and analyze textual data, with an emphasis on translating unstructured text into actionable insights. Students may not earn credit in both DAT 5562 and 6562.