Text and Social Media Analytics M

Postgraduate | 2026

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area/catalogue icon
Area/Catalogue
COMP 6003
Course ID icon
Course ID
201675
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No
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Note:
Course data is interim and subject to change

Course overview

This course provides students an overview of contemporary natural language processing with students gaining hands-on experience implementing NLP with real-world data. 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 patterns in textual data can be identified.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A