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When & Where
Date: 
Wed, December 7, 2016 - 4:00 PM to 6:00 PM
Location: 
D-Lab: Convening Room (356 Barrows Hall)
Description
Type: 

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.

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

This workshop is one of a three part series that will prepare participants to move forward with text analysis research, with a special focus on humanities and social science applications. The other two workshops are:

Text Analysis Fundamentals: Methods and Approaches

Text Analysis Fundamentals: Basic Tools and Techniques

Details
Training Host: 
D-lab Facilitator: 
Patty Frontiera
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