Intent Phrase Detection

The Intent Phrase Analysis model will help you capture semantics behind users' messages and assign it to the right label. It is designed to understand human conversation in the form or free text or spoken text.
Example Response
{
  "status": true,
  "error": {},
  "warning": {},
  "data": {
    {
    "phraseMatch": [
        {
          "matchedTextList": [
            {
              "score": 0.5230883955955505,
              "text": "Marsview is a great place to work",
              "value": "Marsview"
            }
          ],
          "intentId": "intent-bxllq2f7hpkrvtyzi3-1627981197627",
          "intentName": "Marsview"
        },
      ],
    }
  }
}
status field will be set to false if something went wrong while processing the request check for any error messages in the error field
warning field will contain any warnings raised to the user while processing the request. For example if the user sends in a request with invalid intent_ids warning field will contain the list of invalid intent_ids
Response Object
Field
Description
phraseMatch
The intent phrase match output from the models
intentId
The intent Id against which the sentences are matched
intentName
The name of the matching intent
score
The similarity matching score ranges from 0 to 1
text
The sentence which is used to predict intent for
value
The predicted intent

Field	Description
`phraseMatch`	The intent phrase match output from the models
`intentId`	The intent Id against which the sentences are matched
`intentName`	The name of the matching intent
`score`	The similarity matching score ranges from 0 to 1
`text`	The sentence which is used to predict intent for
`value`	The predicted intent

Intent

Predefined Statement Tags

Last modified 1yr ago