Sentiment Analysis in Social Media
Date: 27 Jun 2023 | 9am – 5.30pm | Classroom Learning
Duration: 1 Day
Course Overview
One of the many strengths that the R programming language has is the availability of packages and wrappers for users of varying domains to tap on to. For data analysts or executives who deem social media data to be relevant 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 making sense of social media data, from Tweets to reviews.
This module is part of Professional Certificate in Digital Marketing and Customer Insights.
Learning Outcomes
At the end of the course, participants will be able to perform text analytics, sentiment analysis, as well as social networks analysis.
Topics
- Overview of Social Media Analysis
- Data Extraction and APIs
- Wrapper Libraries
- Web Scraping
- Text Mining
- Basics of Sentiment Analysis
- Introduction to Network Analysis
Tools
R, R Studio
Who Should Attend
Social Media Executives, Marketing Managers
Prerequisites
Familiarity with R programming language and control structures
Facilitators
(Click their photos to view their short biographies)
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
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.
NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2020504965
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Strategic Tech Mgt Institute (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older