SAS Text Analytics

5月 072015
 

A while ago, I started this series on natural language processing (NLP), and discussed some of the challenges of computers interpreting meaning in human language based on strings of characters. I also mentioned that today’s NLP systems can do some amazing things, including enabling the transformation of unstructured data into […]

The post Behind the scenes in natural language processing: Overcoming key challenges of rule-based systems appeared first on The Text Frontier.

7月 262013
 
Seeing is knowing – Going beyond just listening to the voice of the customer ~ with contribution from Cindy Turner We’ve all heard that a picture paints a thousand words. What if you could see a thousand words from your customers? With that view, you could probably paint a hundred different pictures […]
8月 312012
 

 A super hot topic in most organizations is how to make the most of the troves of social data available.
 

This Post-It Note author isn't specific about the SAS solution that is being used, so I'm going to speculate that he or she is taking advantage of SAS Text Miner, SAS Text Analytics and/or SAS Social Network Analyis. Justin Plumley wrote a fantastic blog post (Voices in the Crowd) about how he mined and categorized the social media discussions that occurred during the 2012 London Olympic Games. In a followup post, Dan Zaratsian shows how to follow social chatter through to the social networks beyond - finding influencers. He uses Social Network Analysis - also an excellent way to track fraudsters

Finally, if you are already a using SAS Text Miner, check out these great updates in the new release - Text Miner 12.1.

Has your company been working to gather information from the social sphere? What methods are you using? Are you thinking of writing a paper for SAS Global Forum about your results!?! GO for it!!

tags: 12.1, Friday's Innovation Inspiration, SAS Text Analytics, sas text miner, social media, social network analysis, twitter