Text analysis with large language models

Author

Emi Tanaka

Published

June 3, 2025

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👋 Welcome

Unstructured text data are often hard to process downstream by traditional statistical methods without processing it to a structured or standardised form. In this workshop, we discuss methods to process text data such as cleaning text entries, sentiment analysis, topic identification, topic modelling, and text summarisation. This workshop also serves as an introduction to large language models (LLMs) with demonstration of LLM-assisted text analysis. The workshop will help participants understand how LLMs can be integrated into existing workflows with hands-on experience. Practical applications will be demonstrated through R using OpenAI LLMs or local Ollama models. Participants will have access to all the slides and code used in the demonstration, so you can replicate the analyses and continue exploring LLMs on your own machines.

🕜 Schedule

Note

The schedule is a rough guideline and may change slightly during the livestream.

Day Perth Adelaide AEST Duration Content
Tue 11:00am 12:30pm 01:00pm ~30 mins Landscape of Large Language Models
11:30am 01:00pm 01:30pm ~30 mins Exercise 1
12:00pm 01:30pm 02:00pm ~25 mins Capabilities of Large Language Models
12:25pm 01:55pm 02:25pm ~30 mins Exercise 2
12:55pm 02:25pm 02:55pm ~15 mins Break
01:10pm 02:40pm 03:10pm ~25 mins Parameters of Large Language Models
01:35pm 03:05pm 03:35pm ~30 mins Exercise 3
02:05pm 03:35pm 04:05pm ~25 mins Prompt Engineering
02:30pm 04:00pm 04:30pm ~30 mins Exercise 4
Wed 11:00am 12:30pm 01:00pm ~10 mins Q&A
11:10am 12:40pm 01:10pm ~20 mins Processing unstructured data to structured data
11:30am 01:00pm 01:30pm ~30 mins Exercise 5
12:00pm 01:30pm 02:00pm ~30 mins Text analysis tasks
12:30pm 02:00pm 02:30pm ~30 mins Exercise 6
01:00pm 02:30pm 03:00pm ~15 mins Break
01:15pm 02:45pm 03:15pm ~45 mins Architecture of Large Language Models
02:00pm 03:30pm 04:00pm ~50 mins Exercise 7
02:50pm 04:20pm 04:50pm ~10 mins Next steps
  • AEST includes Sydney, Melbourne, Canberra and Brisbane

📚 Slides

️ Exercises

License

These workshop materials by Emi Tanaka is licensed under CC BY-NC-ND 4.0 – which means you can share the link with your colleagues, peers, friends, family and so on, so long as due credit is given to the author. However, you cannot commercialise or create derivatives from this work without the permission of the author (emi.tanaka@anu.edu.au).