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Text/Data (RCR Days): Topic Modeling and Document Classification with MALLET

Participants in this session will acquire a general understanding of topic modeling, the automated analysis technique often referred to as "text mining."  Topic modeling can refer to a number of different algorithms, which are computationally intensive and mathematically complex. To facilitate a hands-on approach with a focus on process, this workshop uses the open-source MALLET toolkit as a platform for exploring topic modeling with LDA (Latent Dirichlet Allocation) and will not offer a comparison of algorithms. In addition to topic modeling, this session introduces the concepts of sequence labeling and automated document classification, both of which are also possible with MALLET.   

Tuesday, October 9, 2018
1:00pm - 3:00pm
Bostock 121 (Murthy Digital Studio)
West Campus
Digital Scholarship  
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Event Organizer

Profile photo of Will Shaw
Will Shaw

Digital Humanities Consultant, Duke University Libraries