Many datasets have substantial amounts of textual content, such as
transcripts, archives, and blogs. The challenge of identifying the
subjects or topics hidden in the textual bodies can be daunting. This
workshop will teach the participants how to use the Stanford Topic
Modeling Toolbox (TMT) to perform analysis on text collections, and will
cover issues such as tool installation, input preparation, parameter
tuning, and topic slicing. The goal of the workshop is to introduce not
only a computer tool, but also the workflow of discovering topics in