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Short Course

Sentiment Analysis in Social Media

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
To be advised1Classroom LearningTGS-2025057668
This course is offered once a year.

Course Overview

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. There are currently many packages in different programming languages (e.g. R, Python) for mining data from social media sites. This makes it easy for anyone (data analysts, executives) to obtain social media data for garnering insights into behaviours and sentiments. The ability to handle and make use of unstructured data would prove useful. This course covers the concepts and tools useful for performing analysis on social media data such as tweets and reviews. Participants will be able to perform text analytics, sentiment analysis, as well as social network analysis.

Course Objectives

The course will equip learners with the following competencies:

  • Provide participants with both the theoretical foundations and coding foundations in sentiment analysis applications
  • Provide participants with sufficient machine learning foundations to build sentiment analysis models
  • Equip participants with the skills to mine data from the social media to build useful AI applications for gathering and deriving insights
  • Cover examples how social media data and sentiment analysis can be used to gather business insights and perform market research

Who Should Attend

Social media executives and marketing managers.

Prerequisites

Familiarity with R programming language and control structures

Technical Requirements

R and R Studio

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This programme is part of

  • Professional Certificate in Digital Marketing & Customer Insights

    • Types of Available Fundings

  • Enhanced Training Support
  • SFEC
  • UTAP
  • PSEA

    • Testimonials


    Interesting course. Great lecturer!

    Lin Wei Hong Benjamin

    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$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00
    9% GST on Full Course Fee S$94.50 S$94.50 S$94.50 S$94.50 S$94.50
    SSG Funding S$525.00 S$525.00 S$525.00 S$525.00 -
    Additional Funding if Eligible under Various Schemes - S$210.00 - S$210.00 -
    Total Nett Course Fee Payable, including GST S$619.50 S$409.50 S$619.50 S$409.50 S$1,144.50
    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.