Sentiment analysis of students' view of university subjects.

Overview

The views of students are very important in an university context. However, there is limited opportunity to formally capture this views. Luckily (or not), there are lots of informal opinions shared amongst students on social media. This project will capture this information and use a sentiment analysis to elevate the positive and negative reaction to these subjects.

Research engagement

A view of the current state of the art APIs for sentiment analysis.

Research activities

Practical implementation of an API.

Research skills

You will need to have good programming experience and preferably experience using APIs.

Outcomes

You will gain the experience of using state of the art APIs to address a real life issue.

Skills and experience

You will need to have good programming experience and preferably experience using APIs.

Start date

2 November, 2026

End date

19 February, 2027

Location

QUT

Keywords

• sentiment analysis
• machine learning
• programmig

Contact

Alan Woodley

3138 0522

a.woodley@qut.edu.au