Sentiment Analysis in Social Media



Course Reference No: TGS-2020504965

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Learn how to extract valuable insights into user behaviour by  analysing social media interactions in this popular sentiment analysis course in Singapore.

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

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

Sign Up Now



Fees & Funding

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
SSG 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


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

  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. Click Here for more information. 
  4. Eligible organisations (excluding government entities) may apply for the absentee payroll funding 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 Enterprise Portal for Jobs & Skills
  5. Eligible individuals may apply for training allowance capped at $6/hr under the WSS scheme, visit- WSG for more information..
  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.
NTUC members enjoy 50% of the unfunded course fee support for up to $250 each year for courses supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit http://skillsupgrade.ntuc.org.sg
Sign Up Now
 
27 July 2021