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Introduction to Text Analysis

This session will provide learners with a framework for exploring text corpora using computational methods. Through a hands-on introduction to iterative analysis with AntConc and jsLDA, learners will learn how to pose and pursue research questions using techniques like collocation detection and topic modeling. The session will introduce the assumptions, benefits, and tradeoffs of various methods of text analysis, such as the impact of parts-of-speech tagging and the interpretability of topics. The session will also help learners identify how additional methods can support their inquiry, e.g. running text analysis in a programming language or visualizing outcomes, which they can pursue further in small group sessions.

Date:
Wednesday, July 10, 2019
Time:
3:00pm - 4:30pm
Location:
Uris Classroom
Campus:
Uris Library
Categories:
Data and GIS
Registration has closed.

Event Organizer

Rob Kotaska