SHOWCASE/WORKSHOP: Discover the power of computer-based text analysis

 

The Sydney Corpus Lab presents…

 

Do you have large amounts of text to analyse? No time or opportunity to learn how to code? You can still use free, user-friendly tools to analyse your data. In this showcase, researchers from the University of Sydney, the University of Melbourne, and the Centre for Corpus Approaches to Social Science (CASS), Lancaster University, will present case studies that showcase how such tools can be used in the analysis of topics ranging from climate change to obesity to lonely hearts columns.

There will also be a hands-on workshop where Prof Laurence Anthony (Waseda University, Japan) will introduce participants to AntConc. AntConc is a free and user-friendly corpus analysis software program for quantitative (word frequency) and qualitative (concordancing) text analysis. It can be used to identify language patterns in small or large data sets, such as common words and phrases, or how certain words are used. Note that attendees should bring a laptop for the AntConc workshop.

A draft program for the event is available here. Talks are tailored to interest different disciplines, including linguistics, education, Spanish and Latin American studies, history, gender and cultural studies, environmental studies, sociology, and health communication. Participants are welcome to attend one, some or all sessions according to their interests. This event is open to research students (Honours and HDR).

Register

This is a FREE event. For catering purposes, please RSVP for one or both days at the Eventbrite link by Friday 8th March. Those who do not RSVP are still welcome to attend.

More information

Supported by

Prof Anthony’s visit is jointly funded by the Sydney Social Sciences and Humanities Advanced Research Centre (SSSHARC); the Centre for Translational Data Science, and the Sydney Digital Humanities Research Group.

Date

18 Mar 2019 - 19 Mar 2019

Time

All of the day

Location

The University of Sydney
Sydney

Organizer

The Sydney Corpus Lab
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