Advanced – Text Analytics

Course Information

Duration:
  • 3 Days
Time: 9am to 6pm
Fee: $1872.50 (Inclusive of GST)

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Advanced – Text Analytics

Text analytics involves converting information from unstructured text data and putting it through the process of structuring to identify patterns and trends, so that it is more meaningful for further analysis. Text analytics is typically used in sentiment analysis, distilling feedback, social media monitoring and many other applications in the public sector to shape policy-making and support decision-making.

This course focuses on exploring different text analytics techniques, to generate reasonable and actionable insights from the data patterns often embedded in textual data. You will also learn how the use of software can help to process and visualise the textual data. The practical capstone project on Day 3 will help you put into practice the techniques learnt.

Topics Covered

  • Introduction to Text Analytics and its Applications
  • Introduction to Programming Syntax
  • Data or Web Scraping
  • Cleaning and Pre-processing Textual Data
  • Text Classification
  • Sentiment Analysis
  • Topic Modelling to Identify Popular Themes/Topics
  • Textual Data Visualisation
  • Capstone Project

Who Should Attend

  • Officers with an interest to build on their fundamental data skills and learn how text analytics can better equip them to unlock key insights from textual data for deeper analysis
  • Recommended Entry Requirements: A strong background in statistics, frequent use of data including data analysis, and a basic awareness of programming is highly recommended

Software

  • R or Python

Other Information

  • Refreshments and tea breaks will be provided twice daily
  • Participants must achieve 70% for the Applied Learning Assessment and 85% attendance to receive the Certificate of Completion
  • Registration closes 2 weeks before the scheduled class date or when the class is full, whichever is earlier
  • FMG reserves the right to postpone or cancel the class should the minimum class size is not met and participants will be informed accordingly ahead of the scheduled date
  • Learning materials, laptop and software are provided on site