Warning: The crux of this post surrounds the word “shit.” It’s not used to be vulgar or profane, but to show what consumers are saying about brands online. If the word offends you, please move on. If you don’t and it still offends you, you were warned.
Talking with the folks at NetBase in preparation for Friday’s 11 for ’11 Webinar (see below), we came up with a fun little experiment to see A) How good NetBase is at really distinguishing between very similar phrases with very different meanings and B) Which brands are winning and losing in the online sentiment race … at least within these very small parameters.
As Jason has reported before here, sentiment analysis is a tricky thing. Even humans disagree on sentiment 15 percent of the time, so how can a computer create something more accurate? As technology evolves, sentiment analysis gets better, or so we’d like to think.
I caught up with Seth Grimes recently. He is an analytics strategist with Washington, D.C.-based Alta Plana Corporation and a contributing editor at TechWeb’s InformationWeek. He is also perhaps the leading industry analyst covering text analytics. Seth consults, writes, and speaks on business intelligence, data management and analysis systems, text mining, visualization, and related topics. With such an expert on the subject with my reach, I asked him the following: