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Sentiment Analysis Fundamentals

Date: 7 Oct, 11 Oct 2022 | 9am-5.30pm | Online

Duration: 2 Days

Course Overview

With the introduction of modern ICT echo systems (e.g. the Internet, Smartphones, digitalization), there has been tremendous growth in data generated by both systems and people. We can use structured, semi-structured, and unstructured data to extract many facts and patterns hidden inside those resources. One of the information that we can analyze now is sentiments and polarity of opinions. Sentiment analysis or opinion mining is concerned with extracting opinionated content, and analyzing it to provide some clue on how users feel about an issue/thing/service/product, and so on. This course will provide both a theoretical foundation and hands-on experience for someone to understand and practice sentiment analysis and opinion mining.

This module is part of Professional Certificate in Text Processing.

Course Objectives

Course will:

  • Provide participants with the theoretical foundations to text mining and sentiment analysis
  • Provide participants with sufficient machine learning foundations to build sentiment classifiers
  • Equip participants with the skills to mine data from the web and perform sentiment analysis on the data

    Who Should Attend

    AI/ML executives and engineers, Data Analyst

    Prerequisites

    Diploma

    Course Convener

    (Click their photos to view their short biographies)

    ddddd Amirhassan Monajemi

    Dr Amirhassan MonajemiDr Amirhassan Monajemi

    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.

    To enquire, email soc-ace@nus.edu.sg

    To register, click Register

    Course Code:
    TGS-2022012367 (Classroom Learning)
    TGS-2022012367 (Synchronous e-learning)

    For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

    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