LexaBlog

Our Sentiment about Text Analytics and Social Media

Submitted by Christine Sierra on Tue, 2010-02-23 05:00

I am fascinated by the nay-sayers that repeatedly claim automated sentiment software, web sites and services are garbage.

Submitted by Christine Sierra on Mon, 2010-02-08 05:00

Jeff recently shared his thoughts on Text Analytics Market Growth with Seth Grimes for his report on

Submitted by Christine Sierra on Fri, 2010-01-22 05:00

About a year ago, our CTO Mike Marshall did some accuracy testing on sentiment using our software.

Submitted by Jeff Catlin on Fri, 2009-11-06 05:00

Historically, Lexalytics has been very focused on the enterprise software market by building products that are easy to install, configure and get running.

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 Wed, 2009-08-26 04:00

Learn how Search and Text Analytics fit together in the enterprise.

Submitted by Christine Sierra on Tue, 2009-07-21 04:00

Sentiment is usually categorized into three buckets: positive, negative and neutral. It often get's presented looking something like this:

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.