Submitted by Seth Redmore on Wed, 08/11/2010 - 12:22
In an earlier post, Jeff Catlin described analysis that we did around Bally's vs. Bellagio using publicly available customer reviews. We did this analysis using something called "categories", which is basically a fancy name for search strings.
Submitted by Jeff Catlin on Thu, 07/22/2010 - 10:21
Hotel Reviews represent one of my favorite uses of text analytics. About five years ago we built a site with FAST that measured hotel reviews to build a “consensus opinion ” of hotels in a narrow geographic area. The idea was to give users of the site (shown below) an idea of what people thought of various hotels in a given area (Manhattan for example).
Submitted by Seth Redmore on Mon, 06/28/2010 - 13:57
One of the two major new features in Salience 4.3 (releasing around June 30th) is "opinion mining". Opinion mining expands our core technology to handle indirect quotes. We've been able to extract quote-mark delimited quotes for a while now, and you could perform further analysis on those quotes (which were attached to the speaker).
Submitted by Christine Sierra on Tue, 06/22/2010 - 14:06
Sentiment Analysis solutions are popping up everywhere these days - or so it seems. Every day there is a blog post, or Twitter post (or 100), asking how it works or arguing a point about sentiment and what exactly it means. There has been an increase in articles covering everything from automated solutions vs.
Submitted by Christine Sierra on Mon, 06/14/2010 - 14:29
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. To us, it's pretty simple.