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Text Analysis: Mind vs. Machine

Text Analysis: Mind vs. Machine

Analysis of text-based resources can be very time and labor intensive. Consequently, many computational text-mining tools and methodological approaches have arisen, aimed at using machine-learning to more quickly and systematically parse the meanings and themes in text-based materials. Yet these machine-driven tools often cannot be trained well enough to recognize the nuanced and contextual themes and meanings in the texts, and thus tools that facilitate the human-driven mindful analysis of the texts are still necessary.

In this hands-on workshop we’ll use two specific text analysis tools – Voyant and NVivo – to explore the pros and cons of computational-driven text-mining and person-driven text-annotation. Attendees will gain introductory-level experience with these tools that will help them decide whether seeking more training would be advantageous for their research.

Presenters: Spencer Roberts, Digital Scholarship Librarian, and Mandy Swygart-Hobaugh, Team Leader for Research Data Services 

Related LibGuide: Data Services & Support @ Georgia State University Library by Mandy Swygart-Hobaugh

Wednesday, October 25, 2017
11:00am - 12:30pm
Classroom 2
Downtown Campus Library
  Data Services Workshops     Faculty Workshops     Graduate Workshops  
Registration has closed.

Event Organizer

Mandy Swygart-Hobaugh