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Text Analysis INTENSIVE

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When & Where
Date: 
Sat, January 17, 2015 - 3:00 PM to 6:00 PM
Sun, January 18, 2015 - 3:00 PM to 6:00 PM
Location: 
D-Lab: Convening Room (Barrows 356B)
Description
Type: 
Workshop

This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling. Tutorials are performed in R with RStudio.

Day 1: Introduction to text analysis approaches. What is automated text analysis? What questions can we ask and answer using these approaches?

Day 2: Tutorials covering importing text data in R, pre-processing text data, TF-IDF, topic-modeling, and interpretation

Keyword: 
Digital Humanities, R, Text Analysis
Details
Training Host: 
D-Lab
D-lab Facilitator: 
Nick Adams
Format Detail: 
Direct instruction and turtorials
Participant Technology Requirement: 
Bring a laptop with 'Virtual Box' installed. We are going to get you access to the Berkeley Common Environment (BCE)
Waiting List