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

Elizabeth Rose

Elizabeth Rose

Incorporating Spatio-Temporal Convection Effects in Classical Snowball Earth Models
Joel Denning

Joel Denning

Prophet Inequalities
Xiaojuan He

Xiaojuan He

Advanced Optimisation Techniques to the Variable‐Sized 2‐dimensional Bin Packing Problem
Uli Krahn

Uli Krahn

Knots, Rational Tangles and DNA Topology
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Not readable? Change text.