Yeah, the article is crap. But did you take a look at the site: bottlenose.com? It's kinda gorgeous. Having been in the biz (NLP search with sentiment extrac

Yeah, the article is crap. But did you take a look at the site: bottlenose.com? It's kinda gorgeous. Having been in the biz (NLP search with sentiment extraction) once, it still comes down to precision and recall, with poor precision being the fastest way to lose sales. I didn't see any indication of bottlenose accuracy. But maybe I was too blinded by the beautiful d3.js. Speed is also an issue. Machine Learning takes setup time and good corpus sets, after which it's pretty fast. Traditional NLP is faster to start but slower and less accurate after. Neither is remotely close to real-time, which makes me wonder what they're really delivering. Also, at least in my experience, I couldn't get product managers/marketers to give a hoot. But ad-agencies ate it up. And boutique survey shops. And sometimes CEOs. And sometimes customer-service organizations that had too much inbound hate mail and had to triage. I think they may be smoking it to think they're going to get inbound traffic. I had to pound doors.