The future of IBM Maximo: Work Centers and Inspections Can Transform Your Business


Introduction to IBM SPSS Modeler Text Analytics (v18.1.1)

  • Tuition USD $1,650
  • Reviews star_rate star_rate star_rate star_rate star_half 482 Ratings
  • Course Code 0A108G
  • Duration 2 days
  • Available Formats Classroom

Course Eligible for IBM Digital Badge

This course is available in other formats
Introduction to IBM SPSS Modeler Text Analytics (v18.1.1) SPVC (0E108G-SPVC)

This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. After the final model has been created, there is an example of how to apply the model to perform churn analysis in telecommunications. Topics include how to automatically and manually create and modify categories, how to edit synonym, type, and exclude dictionaries, and how to perform Text Link Analysis and Cluster Analysis with text data. Also included are examples of how to create resource tempates and Text Analysis packages to share with other projects and other users.

Skills Gained

Please refer to course overview

Who Can Benefit

Users of IBM SPSS Modeler responsible for building predictive models who want to leverage the full potential of classification models in IBM SPSS Modeler.


- General computer literacy
- Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1.1) is recommended.

Course Details

Course Outline

Unit 1 - Introduction to text mining
- Describe text mining and its relationship to data mining
- Explain CRISP-DM methodology as it applies to text mining
- Describe the steps in a text mining project

Unit 2 - An overview of text mining
- Describe the nodes that were specifically developed for text mining
- Complete a typical text mining modeling session

Unit 3 - Reading text data
- Reading text from multiple files
- Reading text from Web Feeds
- Viewing text from documents within Modeler

Unit 4 - Linguistic analysis and text mining
- Describe linguistic analysis
- Describe Templates and Libraries
- Describe the process of text extraction
- Describe Text Analysis Packages
- Describe categorization of terms and concepts

Unit 5 - Creating a text mining concept model
- Develop a text mining concept model
- Score model data
- Compare models based on using different Resource Templates
- Merge the  results with a file containing the customer- s demographics
- Analyze model results

Unit 6 - Reviewing types and concepts in the Interactive Workbench
- Use the Interactive Workbench
- Update the modeling node
- Review extracted concepts

Unit 7 - Editing linguistic resources
- Describe the resource template
- Review dictionaries
- Review libraries
- Manage libraries

Unit 8 - Fine tuning resources
- Review Advanced Resources
- Extracting non-linguistic entities
- Adding fuzzy grouping exceptions
- Forcing a word to take a particular Part of Speech
- Adding non-Linguistic entities

Unit 9 - Performing Text Link Analysis
- Use Text Link Analysis interactively
- Create categories from a pattern
- Use the visualization pane
- Create text link rules
- Use the Text Link Analysis node

Unit 10 - Clustering concepts
- Create Clusters
- Creating categories from cluster concepts
- Fine tuning Cluster Analysis settings

Unit 11 - Categorization techniques
- Describe approaches to categorization
- Use Frequency Based Categorization
- Use Text Analysis Packages to Categorize data
- Import pre-existing categories from a Microsoft Excel file
- Use Automated Categorization with Linguistic-based Techniques

Unit 12 - Creating categories
- Develop categorization strategy
- Fine turning the categories
- Importing pre-existing categories
- Creating a Text Analysis Package
- Assess category overlap
- Using a Text Analysis Package to categorize a new set of data
- Using Linguistic Categorization techniques to Creating Categories

Unit 13 - Managing Linguistic Resources
- Use the Template Editor
- Share Libraries
- Save resource templates
- Share Templates
- Describe local and public libraries
- Backup Resources
- Publishing libraries

Unit 14 - Using text mining models
- Explore text mining models
- Develop a model with quantitative and qualitative data
- Score new data

Appendix A - The process of text mining
- Explain the steps that are involved in performing a text mining project

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.


Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

the lab should available for an additional time. Starting after 4pm is not the best

Great personnel and facility. I just should have been told i was the only person physically in thr class, and that there was an option to attend the class remotely.

I am overall very impressed with ExitCertified/Tech Data regarding the Spring Core class outline and iMVP delivery format.

The course is perfectly designed with material and labs to get hands on experience on AWS, nicely done!

Exactly what we needed for our organization, at the right time, at the right price. We'll be back!

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

Contact Us 1-800-803-3948
Contact Us Live Chat
FAQ Get immediate answers to our most frequently asked qestions. View FAQs arrow_forward