LexaBlog

Our Sentiment about Text Analytics and Social Media

Submitted by Christine Sierra on Mon, 2010-06-14 18:29

For over 7 years we've been known as Lexalytics. I'll be honest, I didn't pick the name so I can't take credit. However, I often get asked what it means or where it came from.

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 Seth Redmore on Tue, 2010-02-09 05:00

The Super Bowl brings inevitable re-running and armchair quarterbacking at all the advertising agencies about how they could have done better.

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 Jeff Catlin on Tue, 2009-09-08 04:00

Ever since the New York Time's article about sentiment scoring, published a couple of weeks ago,

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 Christine Sierra on Wed, 2009-07-08 04:00

Jeff Catlin provided ZDNet's Jennifer Leggio a guest post on why companies need to be thinking about twitter speak and how it can be analyzed.

Submitted by Christine Sierra on Mon, 2009-05-11 04:00

There is a great blog post on The four stages of the average Twitter user by Jason Hiner.