Text as Business Data (BISM3211)
Course level
Undergraduate
Units
2
Duration
One Semester
Class hours
Lecture 2 Hours/ Week
Tutorial 2 Hours/ Week
Prerequisite
BISM2201 and 2204
Course enquiries
This course is not currently offered, please contact the school or faculty of your program.
Course description
The "big data" revolution is characterised by an abundance of data and increasingly by data in unstructured formats, including text data. Applicable to all forms of text (eg. company annual reports, health and medical records, text and voice data, web pages, etc) text analysis has the aim of extracting information from text useful to decision makers. Using R, this course provides students of business analytics with an overview of the methods of text analysis, including categorising, tagging, and classifying text, and developing and testing models for improving business decision-making based on unstructured data.