|
Text Analytics Using SAS® Text Miner Duration: 14 hours
This course describes the functionality of SAS Text Miner, which is a separately licensed component that is available for SAS Enterprise Miner. 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. The e-learning format of this course includes Virtual Lab time to practice. Learn How To Who Should Attend Prerequisites Before attending this course, you should: ;Be acquainted with Microsoft Windows and Windows-based software.Have at least an introductory-level familiarity with basic statistics and regression modeling.;Previous SAS software experience, especially SAS Enterprise Miner experience, is helpful but not required. SAS Products Covered SAS Text Miner;SAS Text Analytics Common Components;SAS Enterprise Miner Course Outline Introduction to SAS Enterprise Miner and SAS Text Miner Data mining and text mining. Working with data sources. Using SAS Text Miner.Overview of Text AnalyticsUsing the Text Import node. A forensic linguistics application. Information retrieval. Text categorization.Algorithmic and Methodological Considerations in Text MiningMethods for parsing and quantifying text.Dimension reduction with SVD.Additional Ideas and NodesSome predictive modeling details. Text Profile node. High Performance (HP) Text Miner node.
|
