Submitted by Seth Redmore on Mon, 11/07/2011 - 02:12
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.
Submitted by Seth Redmore on Tue, 02/22/2011 - 18:37
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.
Submitted by Seth Redmore on Tue, 01/18/2011 - 17:36
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.
Submitted by Seth Redmore on Tue, 09/28/2010 - 13:46
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.