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Sentiment Analysis in Social Media

Date: On Demand

Duration: 1 Day

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

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.

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 HuiDr Lek Hsiang Hui

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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 $250 each year (or up to $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)

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Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants