Use Open AI’s GPT model to classify text into tags, topics or sentiment.

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Parameter List


The text to be classified. For example: "The delivery arrived very late.".

[optional] tags

The tag (or tags) that you want the text to be classified into. For example: "Delivery, Quality, Price.".

[optional] multi-tag

If the model can return multiple tags, or only one. If filled, should be "true" or "false" . By default it is true.

Selected options:
[optional] examples

Example of the classification you want to perform: Rome: City, France: Country

[optional] temperature

The sampling temperature to use, between 0 and 2. Use 2 for creative applications, and 0 for well-defined answers. By default it is 0. For example: "0.4".

[optional] max_tokens

The maximum number of tokens to generate in the completion. By default it is 2000. For example: "230".

[optional] model

The model to use. By default it uses "gpt-3.5-turbo".

Selected options:


CLASSIFY_OPENAI("This decision is very good, it will bring convenience to many Nike fans, thank you.", Positive; Neutral; Negative, false) returns Positive