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GitHub / IBMDeveloperMEA / Easily-build-a-custom-language-analysis-model-with-Watson-Knowledge-Studio-NLU

In this tutorial, learn how to use Watson Knowledge Studio to annotate reviews for auto repair facilities. After annotating the reviews, you can then train a machine learning model that can analyze the reviews. The model is able to determine what types of repairs were needed by the vehicle and how satisfied the customer was with the quality of work. By analyzing the reviews associated with a given auto repair shop, you can generate insights about that shop's overall performance to determine what types of repairs they're most (and least) skilled at.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IBMDeveloperMEA%2FEasily-build-a-custom-language-analysis-model-with-Watson-Knowledge-Studio-NLU

Stars: 5
Forks: 0
Open issues: 1

License: None
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Size: 6.75 MB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: machine-learning, natural-language-processing, nlp, watson, watson-knowledge-studio, wkc

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