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NLC Ground Truth Wonderland

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POSTED IN: Building Bridges from R to IBM Watson

I created this NLC Ground Truth Wonderland

https://github.com/rustyoldrake/NLC_ground_truth_wonderland

which basically is full of a bunch of CSV files (Ground Truth files) that can be used to quickly train

https://www.ibm.com/watson/developercloud/natural-language-classifier/api/v1/curl.html?curl

plus an R Script for it (though you can CURL it too)

I love NLC.  THe "IBM Watson™ Natural Language Classifier uses machine learning algorithms to return the top matching predefined classes for short text input. You create and train a classifier to connect predefined classes to example texts so that the service can apply those classes to new inputs."

If you want a quick a dirty classifier in less than 30m. from your own GT - recommend giving it a go.

 

Alice seeks ground truth.   (Souce: YouTube)

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About the Author

Ryan Anderson

Ryan Anderson

Hi! I like to play with data, analytics and hack around with robots and gadgets in my garage. Lately I've been learning about machine learning.

About this blog

This is an informal blog that explores tools, code and tricks that group members have developed to engage IBM Watson cognitive computing services - from the R Programming Language. Packages include RCURL to access Watson APIs - for services that include Natural Language Classifier and Speech to Text. THIS IS MY PERSONAL BLOG - it does not represent the views of my employer. Code is presented as 'use at your own risk' (it has lots of bugs)

Created: September 13, 2015

English

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