Overview
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 … For more content click the Read More button below.
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.
Offerings
S2-01-MALAYSIA-ON-CAMPUS
Requisites
Prohibition
Contacts
Chief Examiner(s)
Dr Lee How Chinh
Learning outcomes
On successful completion of this unit, you should be able to:
1.
Understand the concepts of text preprocessing and analytics
2.
Apply text analytics techniques to business analysis
3.
Perform appropriate diagnostics procedures to evaluate business text analytics results
4.
Communicate analytics results and prescribe the recommendations effectively for business decisions