Discover DH: Topic Modeling

In this session, we will discuss topic modeling, which is a method for identifying categories and topics in large bodies of texts. This session will include an overview of topic modeling as a method, and how it can be employed in research. We will also conduct a hands-on with topic modeling using R. While the previous sessions on text analysis (“Building a Corpus for Text Analysis,” “Introduction to Text Analysis,” and “Introduction to R for Humanists”) will prove useful, it is not strictly necessary to attend these sessions as a prerequisite. Please bring a computer to this session, or contact Sarah Stanley if you need a computer provided for you. It is recommended that attendees install R and RStudio on their computers before the session.


*This session will be recorded*




Dial-In Information

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Friday, November 6 at 10:00am to 11:30am

Virtual Event
Event Type

Training and Development, Workshops & Seminars, Webinars

Departments Filters

Libraries, University Libraries


workshop, workshops, digital scholarship, digital humanities, data, Digital Research and Scholarship, data analysis, text encoding, text analysis




Faculty & Staff, Students


Contact Name:

Sarah Stanley

Contact Email

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