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Text analytics for business

ETM3800

Synopsis

In the era of big data, the business world is deluged by huge amounts of data, of which more than 80% of the data is unstructured. In particular, unstructured text is one of the most common forms of unstructured data. Hence, knowing how to uncover business values from unstructured text is essential for a business analyst.

This unit provides a solid foundation of text analytics for you to uncover insights hidden within unstructured textual data. You will learn the five essential components of text analytics: text parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Then, you will integrate text data with structured data to enhance predictive modelling procedures. You will be exposed to real-world business applications using a computer software.

Sourced from the Monash Handbook 2026.

Quick facts

Credit points
6
Level
3
Audience
Undergraduate
Type
Coursework
School
Faculty of Business and Economics
Faculty
Department of Econometrics and Business Statistics
Handbook year
2026

Prerequisites (5)

What it unlocks

Nothing in the visible graph depends on this unit.

Offerings (1)

  • Second semesterMalaysia · ON-CAMPUS

Listed in 2 areas of study

  • Business analyticsCore units
  • Business analyticsMalaysia additional units