View Proposal

Proposer
Mike Chantler
Title
Large Language Models (LLM) for Topic Modelling
Goal
To evaluate the use of LLM for creating graphical summaries of large, unstructured knowledge repositories
Description
To evaluate the use of LLM to create topic models of huge document collections and to compare these against conventional tools such as LDA techniques. Particular concerns are topic stability and topic quality. See url for example of a graphical topic model of > 200,000 document repositories.
Resources
Background
Url
External Link
Difficulty Level
Moderate
Ethical Approval
InterfaceOnly
Number Of Students
2
Supervisor
Mike Chantler
Keywords
machine learning, large language models, topic modelling
Degrees
Bachelor of Science in Computer Science
Master of Engineering in Software Engineering
Master of Science in Data Science
Master of Science in Human Robot Interaction
Bachelor of Science in Computing Science
Bachelor of Science in Computer Science (Cyber Security)
Bachelor of Science in Statistical Data Science
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