February 20, 2011 § Leave a comment
Lots of engineers around me are talking about sentiment analysis. Most of the market researchers I know are more than skeptical about it. I can see the allure of some sort of magical box that will automatically make sense of all of these verbatim comments, but for me it doesn’t really matter. Just give me the handful of comments that resonate with most of the respondents and I’ll read them myself – sentiment and all. That is what is so exciting about some of CloudMR’s early testing of their proprietary algorithm. It doesn’t include fancy text analyzers or extra complexity. It quickly generates a score for each comment and sorts them. Interestingly the early models stratify the comments and group like ideas all together. Since I can easily see that grouping, the algorithm is clearly doing something right and producing the top ideas. It will be fun to see this implemented over the next few weeks. Jeffrey Henning has an interesting post about this same issue from last summer.