This SAS Visual Text Analytics in SAS Viya training course explores the five components of Visual Text Analytics: parsing, concept derivation, topic derivation, text categorization, and sentiment analysis. Documents are parsed and analyzed to reveal dominant themes in the document collection. Sophisticated linguistic queries are constructed to satisfy specific information needs. An integrated solution is developed using information extracted from subject matter expert rules, combined with machine learning results for model and rule-based topics and categories.
By attending SAS Visual Text Analytics in SAS Viya workshop, delegates will learn to:
- Use the point-and-click interface of Model Studio and SAS Visual Text Analytics
- Explore collections of text documents to discover key topics
- Interpret term maps
- Identify key textual topics automatically in your large document collections
- Create robust models for categorizing the content according to your organization's specific needs
- Create, modify, and enable (or disable) custom concepts and test linguistic rule definitions with validation checks within the same interactive GUI
- Extract individual instances of concepts from within documents
- Create custom Boolean rules to categorize documents with respect to a categorical target variable
- Modify automatically generated Boolean category rules
- Extract a document-level sentiment score
- Basic understanding of the differences between structured (numeric) and unstructured (text) data fields.
- Neither SAS programming experience nor statistical knowledge is required.
The SAS Visual Text Analytics in SAS Viya class is ideal for:
- Text analysts, business and marketing analysts, web analysts, BI professionals, customer intelligence professionals, social media analysts, and document librarians