0A102G: Introduction to IBM SPSS Text Analytics

This two-day course shows you how to analyze text data using IBM SPSS Text Analytics. You 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 your work with other projects and other users.

What You Will Learn

Audience

This basic course is for analysts from any application area who need to analyze text data for the purpose of creating predictive models or reports based in part on text data. This course is intended for users of IBM SPSS Text Analytics, Analysts from any application area who need to analyze text data for the purpose of creating predictive models or reports based in part on text data. This course is intended for users of IBM SPSS Text Analytics.

Prerequistes

Attendees should have taken the Introduction to IBM SPSS Modeler and Data Mining, or have equivalent experience prior to the course. Some practical experience with coding text data is not a prerequisite but would be helpful.

Course Outline

• Introduction to Text Mining
• Text Mining Example
• Reading Text Data
• Linguistic Analysis and Text Mining
• Creating a Text Mining Concept Model
• Extracted Results in the Interactive Workbench
• Linguistic Resources
• Editing Dictionaries
• Editing Advanced Resources
• Text Link Analysis
• Clustering Concepts
• Categorization Techniques
• Creating Categories
• Managing Linguistic Resources
• Using Text Mining Models
• The Process of Text Mining

Course Labs