Sentiment Analysis in Social Media

Short Course

Sentiment Analysis in Social Media

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
To be advised	1	Classroom Learning	TGS-2020504965

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

Programme Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$1,050.00	S$1,050.00	S$1,050.00	S$1,050.00	S$1,050.00
Less: SSG Grant Amount	S$735.00	S$735.00	S$735.00	S$735.00	-
Nett Programme Fee	S$315.00	S$315.00	S$315.00	S$315.00	S$1,050.00
9% GST on Nett Programme Fee	S$28.35	S$28.35	S$28.35	S$28.35	S$94.50
Total Nett Programme Fee Payable, Including GST	S$343.35	S$343.35	S$343.35	S$343.35	S$1,144.50
Less Additional Funding	-	S$210.00	-	S$210.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$343.35	S$133.35	S$343.35	S$133.35	S$1,144.50

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
Please note that all external funding for courses is limited in duration and subject to eligibility and availability.

Other Information

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.

Dr Lek Hsiang Hui

Advanced Computing for Executives