Course overview
This course aims to equip learners with the knowledge and skills to analyse textual datasets. Building upon concepts of data science practice, this course will look at the challenges and methods used for textual datasets. By examining the methods of tokenization, sentiment analysis and topic modelling the course shows how the patterns in textual data can be identified. This course aligns with the program's intent to provide a comprehensive understanding of methods to find patterns in real datasets.
Course learning outcomes
- Demonstrate an ability to read text into R and then prepare it with tokenisation, stop words and word embedding
- Understand the importance of representative datasets and the ethics of using text from social sources
- Demonstrate the ability to apply sentiment analysis and topic modelling to real datasets
- Demonstrate the ability to interpret the output from sentiment analysis and topic modelling
Fee calculator
To display course fees, please select your status and program below:
We’re updating this Fee Calculator. It currently shows fees for programs only. Please check the relevant program for full fee details.
Study Abroad student tuition fees are available here.
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.