Super Early Bird Fee
Register and Pay
by 23 Apr ’21
Early Bird Fee
Register and Pay
by 21 May ’21
Regular Fee
Register and Pay
after 21 May ’21
Non Singapore-registered companies $1,095 (SGD) $1,195 (SGD) $1,295 (SGD)
Singapore-registered companies (fees include 7% GST) $1,171.65 (SGD) $1,278.65 (SGD) $1,385.65 (SGD)


Group Discount!
Enjoy 10% off when you register for 3 or more OR
Register  4 for the price of 3

  1. Super Early Bird & Early Bird promotion: Discount will only be valid if payment is received by the stipulated date.
  2. Group discount only applies to registrations from the same company, attending the same event. Delegates must register at the same time and be of the same billing source. Only a single invoice will be issued.
  3. Only corporate registrations will be accepted.
  4. Participation is limited only to registered delegate and strictly no sharing of access to the Live Virtual Workshop. Pacific Conferences reserves the right to terminate the attendance if this is violated.
  5. Bank charges & taxes are to be borne by registrants, if applicable.
  6. Full payment is mandatory upon registration for access to the virtual workshop.
  7. Fee includes event documentation limited to presentation slides only.
  8. The organiser reserves the right to make any amendments that it deems to be in the interest of the event without any notice.
  9. Information provided will be used for event administration and updates on upcoming events. For more details, please visit:


A replacement is allowed if registered participants are unable to participate in the virtual workshop. For cancellations received in writing before 21 May 2021, a full refund will be given with a 10% administrative charge. For cancellations received in writing before 2 Jun 2021, a 50% refund will be given together with the event documentation. There will be no refunds for cancellations received after 2 Jun 2021 or “no show” participants. However participants will receive a copy of the event documentation.

In the event of a cancellation, a refund will be made via the original mode of payment and based on the original amount we received. Refund is made based on the prevailing exchange rate and Pacific Conferences shall not be responsible for any foreign exchange currency losses.

Turn Unstructured Data into Meaningful Information 

Textual Data can provide the key to unlocking your consumers. Think about all the valuable insights you can get from customer feedback, employee surveys and social media posts. Understand you consumer better, boost your marketing strategies and measure public sentiment.  

But employing text mining can be challenging. How to process vast amounts of data? How to choose the right tools that are easy-to-use? How to make sense of data without any programming knowledge? 

Acquire Basic Text Mining & Analysis Skills 

Join this 3-day practical virtual workshop and be introduced to the latest theories, tools, techniques and strategies in text analytics. Takeaway basic predictive analytics models and basic algorithms in text mining analytics. Create scalable, interactive and actionable text mining analytics capabilities. Collect, input and visualise text data from surveys, social media and documents. Discover how you can create a text analytics solution using data science and predictive analytics for your organisation.    

Unique Features

    • Hands-on exercises with practical case studies from:  
      • Customer reviews on an e-commerce website  
      • Clustering survey responses content 
    • Work with a variety of free and paid tools including:  
      • R / Python  
      • RapidMiner  
      • Knime  
      • Micorsoft Azure ML Studio  
      • MonkeyLearn 
      • Aylien 
      • MeaningCloud  
    • Discuss your own text mining projects and work through exercises in smaller groups on Day 3  

Benefits of Attending

  • Understand fundamental concepts in data science powering robust text mining solutions  
  • Make sense of your organisation’s data science and analytics capability and maturity  
  • Explore a variety of free and paid tools and pick apart the pros and cons of each tool  
  • Practice with predictive analytics models and basic algorithms used in text mining   
  • Build a variety of data visualisations to highlight specific points for further action  
  • Deep dive into textual data elements and structures used to capture comments    
  • Analyse trends and ways customers’ comments can impact the brand  
  • Learn how to structure, deliver and work through a text clustering analysis project  
  • Perform text clustering and discuss implications and possible applications of the concept   
  • Hear how you can build a practical action plan to apply text analytics in your organisation  


A Fully Immersive Virtual Workshop Experience

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 Hear LIVE presentation on leading case studies and common challenges  Get real-time answers to your questions throughout the workshop  Interact with like-minded professionals for dynamic exchange of ideas In-depth sharing during
1-hour intimate group discussion on Day 3
 Gain access to full workshop materials and handout



Workshop Leader

Felipe Rego

Data Science & Analytics Partner,


ED1-Felipe Logo

Felipe is a leading advanced analytics and data science partner, working with teams in a range of different organisations and helping them build, manage and enhance their data science and analytics capabilities. Felipe has a unique combination of in-depth technical expertise and many years of business experience – making him a valuable partner to organisations that need help bridging the gap between the technical and business worlds.  


Felipe is also an analytics instructor with experience disseminating practical and actionable knowledge in data infrastructure, cloud, analytics and visualisation techniques in both classrooms and online settings. When Felipe is not partnering with clients or helping students, he’s a research candidate in Learning Analytics at The University of Sydney in Australia. 


Alongside all this, Felipe is also an international trainer and blogger, talking and writing regularly on topics including Data Science, AI, Machine Learning, Predictive Analytics, Statistical Computing and Data Visualisation. Last year alone, Felipe had over 83,000 visitors to his blog from more than 180+ countries. Some of his articles have been ranked #1 in google search and referenced by many sources and leading global educational organisations. 


Who Should Attend

Senior level executives responsible for Marketing, Social Media, Customer Service, Sales, Knowledge Management, Business Intelligence. No prior knowledge, experience in text analytics or the software is required. 



  • Log-In Time: 8.50am (GMT +8) 
    Day 1 – 3: 9am-1pm (GMT +8)  

  • Day 01

    Session 1: Fundamental concepts in Analytics, Data Science and Machine Learning

    • Historical overview, recent developments and future outlook of advanced analytics topics  
    • Demystifying some key definitions, concepts and terminologies in data science & analytics  
    • Knowing why, how and what to consider in all your analytics projects  
  • Session 2: Implementing a data science and analytics capability in your organisation


    • Making sense of your organisation’s data science and analytics capability and maturity  
    • Data, technology and privacy examples for successful analytics in your organisation  
    • Discuss a variety of tools in both open source and commercial spaces and their pros and cons  
  • Day 02

    Session 3: What is the difference with text mining analytics?

    • Understand fundamental concepts and nuances of data science behind text mining analytics  
    • Explore the latest ideas with case studies in data science powering robust text mining solutions  
    • Working with predictive analytics models and basic algorithms in text mining analytics  
  • Session 4: Practical Case Study – Exploring customer review from an e-commerce website  

    • Explore textual data elements and text structures to capture comments  
    • Identify trends and ways customer comments can impact a brand or business  
    • Build a variety of data visualisations to glean specific points of action for further analysis  
  • Day 3 Small Group Discussion Session

    There will be a 1-hour small group discussion with the workshop leader, Felipe Rego, on Day 3. This in-depth and interactive consultation session will provide delegates the opportunity to ask questions from the content covered in the preceding days or focus on specific Text Mining questions/challenges from their own organization. More details will be given nearer to the date. Felipe will also be going through the following case study and review:  

    Practical Case Study – Clustering survey response content  

    • Understand key concepts behind structuring and delivering a text clustering analysis project 
    • Explore and work through a practical example of text clustering on test data  
    • Discuss and showcase implications and other applications of text clustering  

    Text mining analytics in action  

    • Revisit main themes, tools, techniques and strategies  
    • Build a practical action plan to apply text mining analytics to your organisation  
    • Group discussion, final reflections and insights