Are you attending the Data Mining Conference this year? If your plans bring you to Las Vegas this October, you'll want to know what Terry Woodfield is up to! Terry is teaching his new course, Text Analytics with SAS Text Miner, at the upcoming M2010 Data Mining Conference. Terry has been a SAS instructor for more than 10 years and has attended several Data Mining Conferences. He took some time out of his busy schedule to answer a few questions from Michele Reister on The SAS Training Post blog. To learn more about this new course at the Data Mining Conference and some of the things he is looking forward to at M2010, you can read the original blog post.

Like a parent seeing my child on stage at an awards ceremony, I smile when I see SAS software front and center. Four times this year, SAS Text Analytics has received awards.

First, based on its text analytics launch, KMWorld named SAS in the “100 Companies that Matter in Knowledge Management.” ChinaHR.com was highlighted for using SAS Text Analytics to extract data from résumés for its online recruitment services.

Also this year, SAS Sentiment Analysis earned a Communications Solutions Product of the Year Award from TMCnet. SAS Sentiment Analysis uses both statistical techniques and linguistics rules to extract the sentiment expressed in text collections.

Then, in conjunction with SAS Text Analytics customer Sub-Zero Inc. winning the 2010 Progressive Manufacturing 100 award, SAS was inducted to the Technology Partner Hall of Fame by Managing Automation magazine. Sub-Zero reduced costs by $4 million using SAS® software and services to improve customer service.

And, most recently, KMWorld magazine named SAS Text Analytics, Trend Setting Product for 2010, citing SAS’ deep analytics expertise to process unstructured documents--helping organizations reduce manual labor, improve workflow and reduce operating costs.

With SAS Text Analytics at the ready, the days of manually reading through stored documents to find information are gone. What’s more, by examining entire collections of materials, people are discovering patterns that would never emerge from reading each document in isolation.

Few things of value come from working alone. The entire SAS Analytics team shares in this parenting joy. We’d love to hear your text analytics questions and suggestions. Please let us know your SAS successes so we can nominate you for an award.

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