SAS Products
SAS® Text Miner
SAS Text Miner provides tools that enable you to extract information from a collection of text documents and uncover the themes and concepts that are concealed in them. In addition, you can combine quantitative variables with unstructured text and thereby incorporate text mining with other traditional data mining techniques.
SAS Text Miner is a component of SAS® Enterprise Miner. SAS Enterprise Miner must be installed on the same machine.
The most recent release is SAS Text Miner 14.3.
News
What's New in SAS Text Miner 14.3
SAS Text Miner 14.3 offers performance enhancements when running text mining nodes and viewing results. It also offers improved parsing performance for the following languages: Arabic, Czech, Danish, Greek, Hebrew, Hungarian, Indonesian, Norwegian, Polish, Romanian, Slovak, Swedish, Thai, and Vietnamese. These languages now use the HPTMINE procedure, which allows for multi-threaded parsing. The following languages continue to use the HPTMINE procedure: Chinese, Dutch, English, Finnish, French, German, Italian, Japanese, Korean, Portuguese, Russian, Spanish, and Turkish.
Visit our general product information page on www.sas.com for more information.
Online Documentation
Purchase from Bookstore
Technical Papers
Free Online Documentation
SAS Text Miner 14.3
- SAS Text Miner 14.3: Reference Help
- System Requirements--SAS Text Miner 14.3
- System Requirements--SAS Text Miner for Desktop 14.3
SAS Text Miner 14.3 High-Performance Text Mining
- SAS Text Miner 14.3: High-Performance Procedures
- System Requirements--High-Performance Text Mining 14.3
All online documentation for supported releases of SAS Text Miner
Bookstore
- SAS Text Miner titles in online bookstore
- Featured Titles
Technical Papers
- Big Data Meets Text Mining
- Enabling High-Performance Text Mining Procedures
- Processing and Storing Sparse Data in SAS Using SAS Text Miner Procedures
- How to Interpret SVD Units in Predictive Models?
- Relate, Retain, and Remodel: Creating and Using Context-Sensitive Linguistic Features in Text Mining Models
- Automatic Detection of Section Membership for SAS Conference Paper Abstract Submissions: A Case Study
- All Technical Papers for SAS Text Miner
Need help?
SAS Publishing Representatives are available in the U.S. from 8-5 ET to answer your documentation questions. Contact us at 1-800-727-0025, option 4 or e-mail.
Training
Need help?
Curriculum consultants are available in the U.S. from 9-5 EST. Contact us at 1-800-727-0025, option 4 or e-mail.
International customers, please contact your country office.
Samples and Notes
Other Resources
Videos
Air date: August 14, 2017 |
Air date: August 14, 2017 |
Air date: August 14, 2017 |
Air date: April 25, 2017 |
Air date: April 25, 2017 |
Air date: September 1, 2016 |
Air date: October 22, 2015 |
Air date: October 22, 2015 |
For more SAS Text Miner videos, go to the focus area videos.
Online Support Resources
Visit the Technical Support page to access various self-help and assisted-help resources or submit a problem through the SAS Technical Support form.
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The Text FrontierDiscussions about unstructured text analysis, and getting more from big data. |
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Text and Content Analytics CommunityShare your experiences, questions and ideas with other SAS Text Miner users. |