Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (V16) (0A105G)

Course Description Schedule Course Outline
 

Who should attend

This course is for:

  • Anyone who needs to analyze text data for the purpose of creating predictive models or reports based in part on text data.
  • Users of IBM SPSS Modeler Text Analytics.

Prerequisites

You should have

  • General computer literacy
  • Practical experience with coding text data is not a prerequisite but would be helpful

You should have completed:

  • Introduction to IBM SPSS Modeler and Data Mining course

or experience with IBM SPSS Modeler

Course Content

Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (V16) teaches users how to analyze text data using IBM SPSS Modeler Text Analytics. Students will see 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. 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 templates and Text Analysis packages to share work with other projects and other users.

Classroom Training

Duration 2 days

Price (excl. tax)
  • Germany: 1,490.- €
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Bread
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware Dates and Booking
 
Click on town name to bookSchedule
Germany
20/02/2017 - 21/02/2017 Berlin
18/04/2017 - 19/04/2017 Frankfurt
12/06/2017 - 13/06/2017 Stuttgart
07/08/2017 - 08/08/2017 Hamburg
04/10/2017 - 05/10/2017 Munich
27/11/2017 - 28/11/2017 Düsseldorf
Switzerland
12/06/2017 - 13/06/2017 Zurich
Austria
04/10/2017 - 05/10/2017 Vienna (iTLS)