Text Analytics Using SAS Text Miner and SAS Contextual Analysis
Durchgeführt von Prof. Dr. Andreas Hilbert, TU Dresden
In this course, you learn 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. At the same time, you get a practical introduction to the methods of automated document classification and the content identification with the SAS Content Categorization Studio.Lernen Sie, wie Sie / Learn how to
Zielgruppe / Who should attendStatisticians, 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; those who are interested in data mining who want to learn about text mining; Persons responsible for the development and / or examination of categories and concept definitions.
No SAS or programming experience is required. You should be able to log on and off a computer, use a keyboard and mouse, and have a preliminary understanding of the differences between structured (numeric) and unstructured (text) data fields. Previous SAS software experience is helpful but not required.
In this course, the following software modules are used: SAS Text Miner, SAS Enterprise Content Categorization Studio, SAS Text Analytics Software.
Introduction to SAS Enterprise Miner and SAS Text Miner