Praha (26 200 Kč)
Brno (26 200 Kč)
Bratislava (1 050 €)
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.
Users of IBM SPSS Modeler responsible for building predictive models who want to leverage the full potential of classification models in IBM SPSS Modeler.
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.
• General computer literacy
• Prior completion of Introduction to IBM SPSS Modeler and Data Mining (v18) is recommended.
Unit 1 - Introduction to text mining
Unit 2 - An overview of text mining
Unit 3 - Reading text data
Unit 4 - Linguistic analysis and text mining
Unit 5 - Creating a text mining concept model
Unit 6 - Reviewing types and concepts in the Interactive Workbench
Unit 7 - Editing linguistic resources
Unit 8 - Fine tuning resources
Unit 9 - Performing Text Link Analysis
Unit 10 - Clustering concepts
Unit 11 - Categorization techniques
Unit 12 - Creating categories
Unit 13 - Managing Linguistic Resources
Unit 14 - Using text mining models
Appendix A - The process of text mining
The prices are without VAT.