Getting Started with Text Mining

About the course

Learn how you can make full use of textual data to improve your business processes.

In this introductory course, you will learn the fundamentals of text mining and gain a deeper understanding into the basic concepts, tools and processes that will help you unveil helpful insights in the different types of textual data.


Laptop loaded with the text mining tool will be provided.

Who should attend?

Business managers, executives and analysts who wish to gain helpful insights in textual information in documents, database or social media.

Learning Objectives

Upon completion of this course, you will pick up the basic knowledge and skills in text mining in the following areas:

  • Structured vs Unstructured Data
  • Complexity in Text Mining
  • Types of Text Mining
  • Text Mining Tools in market
  • Basic Text Processing Pipeline
  • Text Pre-Processing
  • Text Clustering
  • Sentiment Analysis
  • Introduction to a basic text mining tool

Entry Requirement

Basic computer literacy. No prior knowledge or experience on text mining is required.

Certification

Participants will be awarded the Certificate of Attendance by Republic Polytechnic upon meeting 80% of the attendance.

Course Dates

9 April 2019 

11 June 2019

10 September 2019

Course Duration

One day

Course Venue

Republic Polytechnic @ Woodlands 

Full Course Fee (Others) Workfare Training Scheme (WTS)
Singapore Citizens aged 40 & above SME-employed Singapore Citizens & SPR Singapore Citizens aged below 40 OR Singapore PR
$358.45
$23.79
$35.85
$40.54
$107.54

*Skillsfuture Credit approved

Last updated on 16 May 2019

Need more help?

If you are still unsure about which course to pursue, please contact our Academy for Continuing Education.  

Fees quoted are inclusive of GST. Republic Polytechnic reserves the right to make changes to the course fees and application closing dates without prior notice. The commencement of each course is subject to a sufficient number of participants. All information is accurate at time of publishing.