I am fascinated by the nay-sayers that repeatedly claim automated sentiment software, web sites and services are garbage.
Jeff recently shared his thoughts on Text Analytics Market Growth with Seth Grimes for his report on
About a year ago, our CTO Mike Marshall did some accuracy testing on sentiment using our software.
Historically, Lexalytics has been very focused on the enterprise software market by building products that are easy to install, configure and get running.
Recently, Jeff spent some time speaking with Jason Falls (@jasonfalls) of www.socialmediaexplorer.com and they discussed natural language processing
It seems lately that there are more and more companies offering sentiment solutions to a variety of markets.
Ever since the New York Time's article about sentiment scoring, published a couple of weeks ago,
Learn how Search and Text Analytics fit together in the enterprise.
Sentiment is usually categorized into three buckets: positive, negative and neutral. It often get's presented looking something like this:
There is a great blog post on The four stages of the average Twitter user by Jason Hiner.