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).
You may be interested in
Georgio Hawi
Polynomial Method in Additive Combinatorics: Extension of CAP Sets Problem to More Than Three Points
