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 and focusses on the following in the Digital Humanities workflow:
Build - Where to locate and how to gather textual data for your corpora or data set
Prepare - Explore useful processes and tools to prepare textual data for analysis, including transcription tools to use and data recognition (OCR) to ensure machine readability
Analyse - Identify different types of analysis used to interrogate content and uncover new insights; explore text analysis and digital mapping tools as well tools such as Voyant used to visualise your outputs
Understand the basic workflow of researching with digital text
Basic knowledge of textual data, its types and usage considerations
Ability to find textual data for digital analysis
Choose the right tool for your dataset at each stage of the digital research process
Limitations: This session does not cover social media content, web scraping, or APIs.