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When & Where
Mon, March 20, 2017 - 10:00 AM to 12:00 PM
Barrows 371: D-Lab Breakout Room

This hands on workshop builds on part 2 by introducing the basics of Python's scikit-learn package to implement unsupervised text analysis methods. This workshop will cover a) vectorization and Document Term Matrices, b) weighting (tf-idf), and c) uncovering patterns using topic modeling.

Prior knowledge: A basic familiarity with Python is required if you wish to follow along with the tutorial.

This workshop is one of a four-part series that will prepare participants to move forward with text analysis research, with a special focus on humanities and social science applications. Please register for each workshop separately. The other workshops in the series are listed below:


Training Host: 
D-lab Facilitator: 
Ben Gebre-Medhin
Format Detail: 
Interactive, hands-on
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