Seth Redmore's blog

Tuning Sentiment: Three Two's.

In honor of the Sentiment Analysis Symposium this week in San Francisco (you are going to be there, right?), here's a summary of best practices for tuning sentiment.   These will work for any sentiment analysis system, but you should use ours.

Because it's the best, 'natch.

1) 2 datasets:  Gather a set of documents and split it in half. 

The simplicity of configuring a concept topic.

In about 6 minutes, I'll show you how easy it is to configure a concept topic that classifies documents by two different classifiers:

1) Is a country mentioned that is in the Middle East?
2) Are there weapons mentioned?  

(Watch in fullscreen unless you have bionic vision and can see what I'm typing in that tiny window below.)

Video Proof! (Concept topics example.)

I got kinda dissed in the comments for being too vague in my last blog post, with a demand for a video/demo.

We have heard and are responding!

We're working on more, but check out this quick demo of concept topics.

Check this out full-screen so you can see what I'm typing.

Salience Five Now Shipping!

Yes, yes, we've been very quiet.  That's because we've been working on really cool stuff, and now it's released to the marketplace.

Salience Five is our most important release since our last release!  :)

Seriously, though, we've introduced some groundbreaking new features to help you understand what's being said in all that text.

Computerworld: Sentiment Analysis Comes of Age

Quick quiz - how many of the companies in this article rely on Lexalytics for sentiment analysis technology? Computerworld: Sentiment Analysis Comes of Age Answer: 3/5 technology providers (including ourselves, duh), and 3/6 of the social media monitoring companies. Awesome-tastic.

MediaVantage launches significant enhancements to their online media monitoring application

Our buddies over at MediaVantage http://www.mediavantage.com have just announced some significant improvements to their already really good service. Included with improvements to their content stream for social media (including both more stuff and better filtering) and an improved search interface; they've launched some stuff that's near and dear to my heart - automated tonality scoring.

Flash Mobs, Malls, and Social Media Monitoring.

I came across the following article today, our last day before the Christmas holiday break. If ever an article deserved a blog post, it's this one. Expert: Roseville Galleria paid no attention to social media for flash mob The article talks about a flash mob that occurred in a mall in Roseville, CA.

Lexalytics and Datasift and the Twitter Firehose

Nick Halstead has launched a new service called Datasift. Datasift exists to help you filter the twitter firehose, chopping things up along any vector you can think of (and more). For example, you can do simple keyword filtering, but across a polygon that defines a geographical locale around the tweet-er, and only includes positive tweets.

Salience, Twitter, and other data work

Salience is roughly split into two parts: the software itself, and the supporting data directories that have dictionaries, models, etc. This post discusses work specific to the data directory itself.

Discovering relevant concepts in hotel reviews

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.