Natural Language Processing

Undergraduate | 2026

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Area/Catalogue
MATH 4009
Course ID icon
Course ID
200066
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
4
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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 aims to equip students 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.  

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A