Sentiment Analysis in Social Media

Date: To be advised

Duration: 1 Day

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.

This course is part of Professional Certificate in Digital Marketing and Customer Insights

Learning Outcomes

The course will equip learners with the following competencies:
1. provide participants with both the theoretical foundations and coding foundations in sentiment analysis applications
2. provide participants with sufficient machine learning foundations to build sentiment analysis models
3. equip participants with the skills to mine data from the social media to build useful AI applications for gathering and deriving insights
4. cover examples how social media data and sentiment analysis can be used to gather business insights and perform market research


R and R Studio

Who Should Attend

Social media executives and marketing managers.


Familiarity with R programming language and control structures


(Click photo to view biography)

Dr Lek Hsiang HuiDr Lek Hsiang Hui

What Our Participants Say

“Interesting course. Great lecturer!”
– Lin Wei Hong Benjamin

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

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Course Code

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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