Event Details
About this Event
Most of the time we think of text as content, but what if we treated it like data instead? Using the process of text mining, researchers can draw new conclusions about a body of text. They can visualize the most commonly used words and phrases in a collection of books or classify research articles by topic.
During this workshop, explore the basic concepts and methodologies of text mining. You will leave with ideas on how to implement this computational text analysis technique in your own projects with free and accessible tools.
Kayla Abner, digital scholarship librarian, will lead this workshop.
This in-person workshop is open to UD students, faculty and staff, and is co-sponsored by the Graduate College. Those interested in learning a new research method, including new faculty members or graduate students in the humanities and social sciences, are encouraged to attend.
Registration is required as seating is limited.
Interested in learning more about text mining, but can’t make the workshop? Check out our virtual workshop Text Mining Basics with Q&A on November 4.