Sentiment Analysis in Social Media

Date: 27 Jun 2023 | 9am – 5.30pm | Classroom Learning

Duration: 1 Day

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. 

This module is part of Professional Certificate in Digital Marketing and Customer Insights

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 S$250 each year (or up to S$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)

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

Singapore Citizens

39 years old or younger

Singapore Citizen

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

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