Sentiment Analysis Fundamentals
Date: 18 May, 19 May 2023 | 9am-5.30pm | Online
Duration: 2 Days
Course Overview
With the introduction of modern ICT echo systems (e.g. the Internet, Smartphones, digitalization), 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 analyze now is sentiments and polarity of opinions. Sentiment analysis or opinion mining is concerned with extracting opinionated content, and analyzing 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.
This module is part of Professional Certificate in Text Processing.
Course Objectives
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
Who Should Attend
AI/ML executives and engineers, Data Analyst
Prerequisites
Diploma
Course Convener
(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.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2022012367 (Classroom Learning)
TGS-2022012367 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
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
