Kurs informasjon: Introduction to IBM SPSS Text Analytics SPVC

PLEASE DO NOT MAKE TRAVEL ARRANGEMENT FOR THIS SELF PACED VIRTUAL COURSE (SPVC). ONCE YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. You will then have a 30 day window in which to complete your course. Within this 30 days, you will have 336 hours of elab time. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day, but lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Once you have accessed the course, help is available Monday through Friday; questions will be responded to within 24 hours.

NO EXTENSIONS FOR THIS COURSE WILL BE GRANTED.

This is the self paced training version of "Introduction to IBM SPSS Text Analytics" classroom course. This two-day self-paced training 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.

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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.

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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.

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Please refer to course overview for course descriptions.

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• 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

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eLabs will be available for a total of 336 hours in the 30 day window.

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