Sentiment Analysis in Social Media



Course Reference No: CRS-N-0051856

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Course Objectives

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.

At the end of the course, participants will be able to perform text analytics, sentiment analysis, as well as social networks analysis.

Outline

  • 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

Pre-requisites

Familiarity with R programming language and control structures

Who Should Attend

Social Media Executives, Marketing Managers

Mode of Training

On-Campus

Speaker

Mr. Koo Ping Shung

 

Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. He is also currently an Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. To date, he has conducted over 1,600 man-hours of data science training. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes.

Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University.

Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) at the Singapore Management University School of Information Systems. He managed the industrial relationships through projects and attachments. He often advised companies on the type of data analytics projects they can work on with their data and is a co-supervisor for many Masters students on their data analytics capstone projects. He was an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. He has also trained professionals from various companies on data analytics and the use of SAS software.

Ping Shung was a facilitator for the IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp which was co-organised by the IDA Singapore and The World Bank.

Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. His data analytics experience range from a wide variety of business functions and industries, gathered from talking to companies or working on data analytics projects.

His strong passion in data analytics and data science can be seen through his involvement in data analytics interest groups, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of the DataKind SG project. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development.

His research interest lies in how data science can help organisations and businesses to be more efficient and effective.

Ping Shung holds an MBA from University of Adelaide. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance.

DATE

TBC

DURATION

1 Day
9.00am to 5.30pm 

VENUE

National University of Singapore
University Town

International Participants

S$1,123.50

Incl. GST

Singapore Citizens (39 yrs old or younger) or Singapore PRs

S$337.05

Incl. GST

Singapore Citizens (40 yrs or older)

S$127.05

Incl. GST

Enhanced Training Support for SMEs

S$127.05

Incl. GST

Fees & Fundings

International
Participant
Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore PRs Enhanced Training
Support for SMEs3
Full Programme Fee S$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00 S$1,050.00
SkillsFuture Funding
(Refer to Funding Page for Claim Period)
- (S$735.00) (S$735.00) (S$735.00) (S$735.00)
Nett Programme Fee S$1,050.00 S$315.00 S$315.00 S$315.00 S$315.00
7% GST on Nett
Programme Fee
S$73.50 S$22.05 S$22.05 S$22.05 S$22.05
Total Nett Programme
Fee Payable, Incl. GST
S$1,123.50 S$337.05 S$337.05 S$337.05 S$337.05
Less Additional Funding if
Eligible Under Various Scheme
- - (S$210.00) - (S$210.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$1,123.50 S$337.05 S$127.05 S$337.05
S$127.05


  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit http://www.skillsfuture.sg/credit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056
  4. Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at www.skillsconnect.gov.sg for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME. For more information, visit https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp
  5. Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit- https://www.wsg.gov.sg/programmes-and-initiatives/workfare-skills-support-scheme-individuals.html for more information on WSS.
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
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17 November 2020