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Topic Modeling and Document Classification with MALLET (Digital Humanities Workshop Series: Text/Data)

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.

** This workshop is offered for RCR credit as GS712.19.  Participants who plan to receive RCR credit (as indicated on the registration form) will receive priority registration.

Wednesday, March 7, 2018
9:00am - 11:00am
Bostock 121 (Murthy Digital Studio)
West Campus
Digital Scholarship  
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Digital Scholarship Services