Hi! My startup [1] is based on an algorithm that can measure the emotional impact of text. Our blog is where we post interesting results from applying our algorithm.

[1] http://effectcheck.com

Speaking of your startup, it appears to have "Oracle Pricing" as its revenue model. You have to talk to a salesperson to get a price, which is often code for "We need to know how much you can afford and how much you are willing to pay before we quote a price."

I like everything else I see.

Trying the sample EffectCheck script on http://effectcheck.com/about : the sidebar says it's counting occurrences of phrases which score on each dimension. How is the association of word/topic determined? The measurement is valuable if and only if "Anxiety" defined as the count of ("different", "trigger", "taken out", "over", "carefully"...) corresponds to anxiety on some other psychologically relevant scale.

Uhhhhh-huh. But how does the algorithm work, and (more importantly) how do we know whether it works or not?

I assume the actual algorithm itself is not open sourced.

I'm wondering if there's anything that trips it up, like adding points to a comment's "hostility" score for profanities, which some people use when they're fucking excited about an idea.