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 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
- RStudio cheat sheets
- Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc) to get the latest announcements. Aside from the usual IT research questions,
- First Tuesday of the month: Bioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
- Last Tuesday of the month: BioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab