LexaBlog

Our Sentiment about Text Analytics and Social Media

Submitted by Jeff Catlin on Mon, 2010-03-22 04:00

At Lexalytics, we try to follow the news in all of the industries that affect and are affected by text analytics, chief among them is social media monitoring.

Submitted by Christine Sierra on Fri, 2009-10-23 04:00

Recently, Jeff spent some time speaking with Jason Falls (@jasonfalls) of www.socialmediaexplorer.com and they discussed natural language processing

Submitted by Christine Sierra on Fri, 2009-10-02 04:00

It seems lately that there are more and more companies offering sentiment solutions to a variety of markets.

Submitted by Christine Sierra on Tue, 2009-08-25 04:00

I'm very excited. Yesterday, the New York Times published a piece: Mining the Web for Feelings, Not Fact.

Submitted by Christine Sierra on Thu, 2009-08-20 04:00

Earlier this year Jeff outlined a few things you should consider when investigating a reputation management solution.

Submitted by Jeff Catlin on Mon, 2009-04-27 04:00

This will be the final piece on the basics of Text Analytics. I’ve covered the basics of categorization/classification, sentiment analysis and finally I’ll spend some time on entity extraction.

Submitted by Jeff Catlin on Mon, 2009-04-20 04:00

In my last post about Text Analytics, I described the more classification and concept-oriented pieces of Text Analytics.

Submitted by Christine Sierra on Thu, 2009-03-19 04:00

I’m often asked how someone would use our text analytics and sentiment software within their organization.

Submitted by Christine Sierra on Thu, 2009-03-12 04:00

Remember the good ole days when, if you wanted to ruin someone’s reputation, you had to go to the local watering hole, whisper an untruth in someone’s ear, and watch the fire spread?