Friday, October 16. 2009SAS is hiring - Text Analytics is Growing!Trackbacks
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OK, Mary Crissey, it is Nov 10th, 2009 and December 2009 is only 3 weeks away.
So, what can you tell us about SAS TM version 4.2 and Teragram? Interested in knowing what is going to be new, enhanced, etc Thanks, Chuck Patridge Now, is "Chuck Patridge" a person or is it a bird ? "Chukar Partridge" Those who were able to attend the Las Vegas Show M2009 were given an opportunity to see a sneak peak of the next release of TM 4.2 in the demo theater at our booth in the exhibit hall. You will see three new nodes displayed in the Enterprise Miner diagram and be presented with several practical features most requested by those pursuing applications in this field. The best part about the new Teragram enhancements to Text Miner is that our current Text Miner users will get all the new capabilities for no additional cost. I encourage you to upgrade to SAS 9.2 and install SAS Enterprise Miner 6.1 if you haven't already done so. This will make the transition to our upcoming release much smoother. Descriptions of the new features will be displayed on our website next month. http://www.sas.com/technologies/analytics/datamining/textminer
Stay tuned! |
ABOUT THE TEAM I'm Manya Mayes, SAS Chief Text Mining strategist. On this blog, my colleagues, friends and I discuss unstructured text and understanding the voice of the customer. Plus a few more things. Read more about me and the other contributors here. ContributorsQuicksearchShow tagged entriesa2009 advertising alone analytics artifical intelligence auto burden conference consumer opinion content categorization Crime criminal CRM customers denmark Discussion Forum email event extraction extraction FBI global forum information retrevial interview data john elder kdd M2009 manufacturing misspellings safety sas sentiment sentiment analysis significance Skittles social media social networking success stories supervised learning svd synonyms synsets teragram teragram; sas global forum; twitter; demo; text text mining textspeak topic detection Twitter visualization YouTube
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