Working with large scale text for research [webinar]
In this workshop, we’ll explore the practical and technical aspects of working with large-scale text data in academic research. Whether your work involves qualitative analysis (e.g., thematic coding, discourse analysis) or quantitative approaches (e.g., sentiment analysis, topic modelling), this workshop will provide hands-on skills to help you process and extract insights from unstructured textual data using AI and machine learning tools. You’ll learn how to clean, structure, and prepare text data for analysis, and apply techniques to analyse large corpora using Python and key NLP libraries. This is a technical but accessible session. If you're looking to integrate large-scale text analysis into your thesis or publications, this session is for you.
Presented by Dr Morteza Namvar, Senior Lecturer at the UQ Business School.
About Research software and programming
Library workshops
The library offers a range of training workshops under the headings below including:
R with RStudio Excel for research data NVivo Pro
Useful links
- Library's software training resources
- Software carpentry: The open-source movement to teach basic lab skills for research computing.
- REDCap consortium: A secure web application for building and managing online surveys and databases. UQ is a member of the consortium
- Posit Cheatsheets for R
- RCC supports Hacky Hour UQ, which is currently being held online. Hacky Hour is a weekly meetup, held Tuesdays, 1pm–2pm (AEST), for UQ researchers to ask research-related technical issues to do with:
- High-performance computing
- cloud computing
- virtual machines
- data storage
- data security
- data cleanup
- automated workflows
- data pipelines
- virtual desktops
- Python
- R
- Linux
- Software and Data Carpentry
- Bioinformatics.
When: Hacky Hour UQ occurs each Tuesday, 1pm–2pm (AEST). Occasionally, it is cancelled if no RCC and Data Science CRP experts are available that day.
Where: Hacky Hour will be held via Zoom video conference. For Zoom meeting details please email rcc-support@uq.edu.au.
Any questions? Email rcc-support@uq.edu.au.