School of Computing · ANU College of Systems and Society
The ability to process and analyse large volumes of text is essential in today's information-driven world. This course introduces technologies for the analysis of textual documents, covering both foundational and modern approaches. It begins with the basics of information retrieval and text classification, then advances to deep learning methods in natural language processing, including the use of pre-trained large language models (LLMs). Emphasis will be placed on the theoretical foundations of the methods and algorithms, while practical exercises will provide students with valuable hands-on experience.
Quizzes
Learning outcomes 1, 2, 3, 4, 5, 6
Assignments
Learning outcomes 1, 2, 3, 4, 5, 6
Final Examination
Learning outcomes 1, 2, 3, 4, 5, 6
Lectures and tutorial/laboratory sessions plus self study to a total of 130 hours.
None Preliminary Reading The following reference books will be used. - Dan Jurafsky and James H. Martin. Speech and Language Processing (3rd ed. draft), 2025. - Introduction to Information Retrieval, C.D. Manning, P. Raghavan and H. Scutze, Cambridge University Press, 2008.