Learn how Watson NLU text classification output can be augmented to achieve the desired text classification results using domain-specific configuration files.
Extend Watson text classification
Use the Python NLTK toolkit and IBM DSX to achieve the desired text classification results
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Watson™ Natural Language Understanding requires multiple documents for training in order to obtain good results. In new subject domains, there is limited time to create multiple training documents. In such a scenario, the approach suggested in this developer journey augments the results from Natural Language Understanding with a simple input configuration JSON file, which can be prepared by a domain expert. This approach gives accurate results without the need for training documents.