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Text Analytics Techniques

Introduction to Social Media AnalyticsMLC by Temasek Polytechnic
 (70% OFF)


  • Intermediate Level
  • 10 Micro-Learning Sessions
  • 130 min. of Experiential Content
  • 55 Learning Actions
  • Group Discussions & Sharing
  • Offline Access
  • Lifetime Access via Mobile and Web
  • Digital Certificate shareable on LinkedIn
This Course is part of an Accredited Suite by Temasek Polytechnic

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What will you learn

What is this 'Micro-Learning Course' about?

This course will introduce participants to the various application areas and techniques of text analytics. Participants will learn about text clustering, text classification and sentiment analysis.

Who is this course designed for?

Learners who have completed Introduction to Social Media Analytics and Text Analytic Process and who are interested to learn how text classification, clustering and sentiment analysis is carried out.

What will you take away?

At the end of this course, you will be able to:

  • Describe different methods of text categorization

  • Describe cluster analysis in text analytics

  • Describe sentiment analysis in text analytics

Session Overview

  1. Introduction to Text Analytics (Text Mining)

  2. Text Mining Applications

  3. Information Extraction

  4. Concept Extraction (Topic Modelling)

  5. Text Categorization

  1. Text Clustering I
  2. Text Clustering II
  3. Sentiment Analysis
  4. Tools for Text Analytics
  5. Wrapping Up
Accredited by Temasek Polytechnic

Beyond their core business of conducting full-time courses for students, Temasek Polytechnic is also committed to the practical re-skilling and professional development of adult learners. They believe in helping individuals and organisations equip themselves with the necessary skills to meet the challenges of a dynamic economy.

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