This Text Analytics Using SAS Text Miner training course provides skills to use SAS Text Miner to uncover underlying themes or concepts contained in large document collections, automatically group documents into topical clusters, classify documents into predefined categories, and integrate text data with structured data to enrich predictive modeling endeavors.
By attending Text Analytics Using SAS Text Miner workshop, delegates will learn to:
- Process textual data and show how it can be used in predictive modeling and exploratory analysis
- Convert unstructured character data into structured numeric data
- Explore words and phrases in a document collection
- Cluster documents into homogeneous subgroups
- Find documents most closely associated with a word or phrase
- Find words or phrases most closely associated with a document
- Identify topics in a document collection
- Classify documents based on derived or user-supplied topic definitions
- Extract a subset of documents with term-based and string-based query filters
- Use textual data to improve predictive models.
- Experience using SAS Enterprise Miner to do pattern discovery and predictive modeling
- Previous SAS software experience, especially SAS Enterprise Miner, is helpful but not required.
The Text Analytics Using SAS Text Miner class is ideal for:
- Statisticians, business analysts, and market researchers who incorporate free-format textual information in their analyses; managers of large document collections who must organize and select documents using data mining.