ETM3800 · Text analytics for business

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 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.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. appraise the concepts and methods of text pre-processing and analytics for business applications
2. solve business problems using text analytics techniques
3. use appropriate diagnostic statistics and procedures to evaluate text analytics results
4. recommend effective solutions and suggestions based on text analytics results

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.