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Short Course

Sentiment Analysis Fundamentals

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
14 and 15 January 2026 | 9 am - 5.30 pm2Classroom LearningTGS-2025057672

Course Overview

With the introduction of modern ICT echo systems (e.g. the Internet, smartphones, digitalisation), there has been tremendous growth in data generated by both systems and people. We can use structured, semi-structured, and unstructured data to extract many facts and patterns hidden inside those resources. One of the information that we can analyse now is sentiments and polarity of opinions. Sentiment analysis or opinion mining is concerned with extracting opinionated content, and analysing it to provide some clue on how users feel about an issue, thing, service, product and so on. This course will provide both a theoretical foundation and hands-on experience for someone to understand and practice sentiment analysis and opinion mining.

Course Objectives

This course will:

  • Provide participants with the theoretical foundations to text mining and sentiment analysis
  • Provide participants with sufficient machine learning foundations to build sentiment classifiers
  • Equip participants with the skills to mine data from the web and perform sentiment analysis on the data

Job Role Readiness

  • AI/ML executives and engineers
  • Data analysts

Prerequisites

  • Diploma
  • Python programming skills
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This programme is part of

  • Professional Certificate in Text Processing

    • Funding Available

  • SkillsFuture Funding
  • Enhanced Training Support
  • SkillsFuture Credit
  • SFEC
  • PSEA

    • Testimonials


    Text processing is a relatively difficult subject matter but Dr Lek was able to teach the subject that made it easier for non-computing professionals to understand.

    Instructors


    Dr Lek Hsiang Hui

    Dr Lek Hsiang Hui

    Dr Lek Hsiang Hui is a Specialist in Data Analytics, System Analysis and Development. He is an IT techie who is passionate about computer systems and technology. He is involved in a few startups and is constantly looking into innovative IT solutions which can be translated to business ideas, with the recent one in the area of Big Data Analytics. He is also a mobile application developer and has produced more than 10 mobile apps. Dr Lek has been teaching various undergraduate courses and executive courses in National University of Singapore (NUS) since 2006. Some of these modules include programming methodology, enterprise system analysis and development, and data mining. During this period, he has won a number of teaching awards such as NUS Annual Teaching Excellence Award (2015/16, 2016/17, 2017/18) and NUS Annual Teaching Excellence Honor Roll (2018/19), Faculty Teaching Excellence Award (2014/15, 2015/16, 2016/17), and Faculty Teaching Excellence Award Honor Roll (2017/18). Dr Lek received his Doctor of Philosophy (Information Systems) from NUS in 2013. His research area is in Natural Language Processing (Sentiment Analysis). He graduated with a Bachelor’s Degree (1st class Honors) in Computer Engineering from NUS. Industry Credentials Shopping Malls (UOL, Marina Square, ION), Healthcare (SingHealth), Government (STB), various SMEs in F&B, Apparels, Cleaning Solutions, Photography, Health Products, Baby Products

    Course Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
    9% GST on Full Course Fee S$171.00 S$171.00 S$171.00 S$171.00 S$171.00
    SSG Funding S$950.00 S$950.00 S$950.00 S$950.00 -
    Additional Funding if Eligible under Various Schemes - S$380.00 - S$380.00 -
    Total Nett Course Fee Payable, including GST S$1,121.00 S$741.00 S$1,121.00 S$741.00 S$2,071.00
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.