Tyson Rowe
A Large-Scale Text Analysis of Australian TV Media
This project will develop and use natural language processing techniques to perform a text analysis of the Australian television media landscape over the past two years, using a unique dataset: a collection of teletext closed-captioning provided by the tveeder service. We will download and pre-process the dataset, then apply a range of NLP techniques to analyse large-scale trends across channels and over time. Techniques to be applied include sentiment analysis, topic modelling, and information theory.
Tyson Rowe
The University of Adelaide
Tyson is a second-year student completing a Bachelor of Mathematical Sciences (Advanced) at The University of Adelaide. His passion for mathematics started from a young age with his fascination with numbers. He enjoys doing all types of mathematics, but has a particular interest in pure mathematics and applied mathematics. Outside of study, Tyson enjoys hanging out with friends and watching sports (mainly AFL, cricket and tennis).
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