Project settings
To configure NLU for a project:
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Click in the project card → select Project settings.
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Fill in the fields on Classifier tab:
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Classification algorithm — select the classifier algorithm:
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STS
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Classic ML
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Deep Learning
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Transformer
infoThe Transformer classifier runs on the Caila platform. If you have selected this classifier type for your project, you can apply advanced settings to replace the built-in Transformer with any other Caila classifier.
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Spelling correction — enable this function to correct spelling errors in user requests. Only Russian and Ukrainian languages are supported.
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Search for matches — enable this function to search matches:
- In intent phrases and the Q&A knowledge base questions.
- In intent and Q&A knowledge base answers.
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Timezone — specify the default time zone. If there is no time zone information in the user request, the information from the project settings will be used. This parameter may be important when working with time recognition entities.
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On the NLU settings tab, you can set parameters as a JSON object to configure NLU and connect an external NLU service to your project.
NLP Direct API key
The NLP Direct API key allows you to use a trained classifier in third-party applications.
Go to Project settings → Classifier → save NLP Direct API key.
NLU data and settings import
To import data and settings:
- Go to Project settings → Classifier.
- Attach or drag the file to the Import NLU data and settings field.