This hands-on workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and "what if" exploration using OpenRefine - PREREQUISITE: Use of OpenRefine is necessary.
This online information session introduces digital methods and tools in HASS scholarship and focusses on the following in the Digital Humanities workflow:
Are you looking for ways to gather, capture or transcribe a set of digital works for further analysis? Does your digital text collection need preparation to be understood by software? Do you need a tool to conduct sentiment, discourse, content analysis or mapping with newspaper, literature or historical texts you've gathered for a research project? This information session introduces digital methods and tools in HASS scholarship.
Are you looking for ways to gather, capture or transcribe a set of digital works for further analysis? Does your digital text collection need preparation to be understood by software? Do you need a tool to conduct sentiment, discourse, content analysis or mapping with newspaper, literature or historical texts you've gathered for a research project
Join Dr Tanja Beer, Dr Linda Hassall and Professor Julian Meyrick as the books Ecoscenography: An Introduction to Ecological Design for Performance, Theatres of Dust: Climate Gothic Analysis in Contemporary Australian Drama and Performance Landscapes, and Australia in 50 Plays are launched at Avid Reader Bookshop.
Are you looking for ways to gather, capture or transcribe a set of digital works for further analysis? Does your digital text collection need preparation to be understood by software? This information session introduces digital methods and tools to find, access and build a corpus or text dataset, then prepare textual data for analysis, including transcription tools and data recognition (OCR) to ensure machine readability
This information session introduces digital methods and tools to find, access and build a corpus or text dataset, then prepare textual data for analysis, including transcription tools and data recognition (OCR) to ensure machine readability.
This information session introduces digital methods and tools to find, access and build a corpus or text dataset, then prepare textual data for analysis, including transcription tools and data recognition (OCR) to ensure machine readability.