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Cognitive Computing with IBM Watson

You're reading from   Cognitive Computing with IBM Watson Build smart applications using artificial intelligence as a service

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781788478298
Length 256 pages
Edition 1st Edition
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Authors (2):
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Tanmay Bakshi Tanmay Bakshi
Author Profile Icon Tanmay Bakshi
Tanmay Bakshi
Robert High Robert High
Author Profile Icon Robert High
Robert High
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Table of Contents (11) Chapters Close

Preface 1. Background, Transition, and the Future of Computing FREE CHAPTER 2. Can Machines Converse Like Humans? 3. Computer Vision 4. This Is How Computers Speak 5. Expecting Empathy from Dumb Computers 6. Language - How Watson Deals with NL 7. Structuring Unstructured Content Through Watson 8. Putting It All Together with Watson 9. Future - Cognitive Computing and You 10. Another Book You May Enjoy

Using a custom model in NLU


Once you have deployed a model to your NLU instance, you can reference that model in the feature attributes for either entities or relations (or both).

The following are the steps:

  1. You need the Model ID, which you can get through the List models method on the NLU service, or more easily from the Model ID listed in the Version History and Deployment tab of Knowledge Studio:
  1. Reference that model ID in your call to the analyze method:
entities=EntitiesOptions(limit=100, mentions=True, sentiment=True, emotion=True, model='7a8d0323-939b-4dbc-afa8-1a60d7966c67')
  1. When you run the analyze method again with this model, you should see dramatically different results than the entity analysis. It might look something like this:
The following entities were found:
[British] of type <ORGANIZATION> was found 1 times, with 0% confidence.
The entity was found in:
"British", at index 55
The emotional scores for this entity are: 12% Anger; 2% Disgust; 15% Fear; 63% Joy; and 3% Sadness...
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