> Watson is more a marketing term than a technical connection between products.

As far as I can tell there's absolutely no connection between the products being labeled as 'Watson' and often times very little machine learning taking place either.

I've interviewed several candidates from IBM over the last ~3 years and almost all of them worked on something with 'Watson' in the name. When we whiteboarded out the architecture of what they worked on it was mostly automation with _maybe_ a touch of machine learning thrown in by a module written by someone else.

Very few of them were able to pass the technical interview.

I tried it with the first phrase on the page "This service uses linguistic analysis to detect joy, fear, sadness, anger, analytical, confident and tentative tones found in text."

response: Fear: A response to impending danger. It is a survival mechanism that is a reaction to some negative stimulus. It may be a mild caution or an extreme phobia.

- "Spiders are not insects." => "fear"

Exactly what I expected, and also flat wrong.

- "There's a monster under my bed." => "joy"

Fascinating.

You'd think they'd pair it up with a naive bayes classifier at least.

Thanks. I tried it myself with text examples similar to yours. The answers are a bit bewildering.