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Comment by waterside81 | Hacker News Reader

For anyone whose interested in text classification (along the lines of what Chapter 6 in this book covers), check out our service https://www.repustate.com/predictive-analytics-machine-learn...

It's machine learning as a service: simple API calls to train, cross-validate & classify your data. We'll also be at PyCon this week in Santa Clara so come on by.

Currently in private beta, but we're ramping things up quickly.

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Just a little bit OT, but regarding your website:

I just had the experience, that the auto-slider slid away, while reading your explanation on the third step. I manually had to click, to get the text back.

Maybe you should A/B-Test, if a manual slider is better here, as it is independent of your users reading-speed. Just as a suggestion. ;-)

I wish you good luck with your business. I offer a free NLP API as a web service (kbsportal.com, written from scratch in Clojure) that unfortunately gets little use.

There are very good open source NLP libraries like Stanford NLP, OpenNLP, and NLTK. I think the opportunity for business might be in building custom language models for customers based whatever domains they deal with (e.g., medicine, housing, real estate, etc.)

Do you really see any sort of market for providing operations that can be implemented very easily using python itself?

The Python examples given in the book are very very rudimentary. The service behind our API is "real" machine learning (e.g. SVMs, RBMs, deep neural networks & the like). This is all transparent to the user - you just submit your data via our API.

I started using repustate's sentiment analysis for a project recently and it was impressively easy to get started with, although the sentiment scores can seem a little arbitrary at times.

I am a recent grad who is interested in NPL and Arabic. I am trying to contact you but couldn't find a way. My email is in my profile if you want to get in touch.

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