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Text classification

Content and Commerce AI is in beta. The documentation is subject to change.
The text classification service, when given a text fragment, can classify it into one or more labels. The classification can be single-label, multi-label, or hierarchical.
API format
POST /services/v1/predict

Request
The following request classifies text from a fragment based on the input parameters provided in the payload. See the table below the example payload for more information on the input parameters shown.
analyzer_id determines which Sensei Content Framework is used. Please check that you have the proper analyzer_id before making your request. Contact the Content and Commerce AI beta team to receive your analyzer_id for this service.
curl -w'\n' -i -X POST https://sensei.adobe.io/services/v1/predict \
  -H "Authorization: Bearer {ACCESS_TOKEN}" \
  -H "Content-Type: multipart/form-data" \
  -H "cache-control: no-cache,no-cache" \
  -H "x-api-key: {API_KEY}" \
  -F file="{
    \"application-id\": \"1234\", 
    \"language\": \"en\", 
    \"content-type\": \"inline\", 
    \"encoding\": \"utf-8\", 
    \"data\": [{
      \"content-id\": \"abc123\", 
      \"content\": \"Server and Workstation Processors, Microcode Update is a self-extracting executable file containing the latest beta microcode updates (System Configuration Data) and software license agreement.\"
      }]
    }" \
  -F 'contentAnalyzerRequests={
    "enable_diagnostics":"true",
    "requests":[{
         "analyzer_id": "Feature:cintel-text-classifier:Service-38a4cc7b286449e6bc1977f59df01b47",
         "parameters": {}
    }]
}'

Property
Description
Mandatory
analyzer_id
The Sensei service ID that your request is deployed under. This ID determines which of the Sensei Content Frameworks are used. For custom services, please contact the Content and Commerce AI team to set up a custom ID.
Yes
application-id
The ID of application created.
Yes
data
An array that contains a JSON object with each object in the array representing a document. Any parameters passed as part of this array overrides the global parameters specified outside the data array. Any of the remaining properties outlined below in this table can be overridden from within data .
Yes
language
Language of input text. The default value is en .
No
content-type
Used to indicate whether the input is part of the request body or a signed url for an S3 bucket. The default for this property is inline .
No
encoding
The encoding format of input text. This can be utf-8 or utf-16 . The default for this property is utf-8 .
No
threshold
The threshold of score (0 to 1) above which the results need to be returned. Use the value 0 to return all results. The default for this property is 0 .
No
top-N
The number of results to be returned (cannot be a negative integer). Use the value 0 to return all results. When used in conjunction with threshold , the number of results returned is the lesser of either limit set. The default for this property is 0 .
No
custom
Any custom parameters to be passed. This property requires a valid JSON object to function.
No
content-id
The unique ID for the data element thats returned in the response. If this is not passed an auto-generated ID is assigned.
No
content
The content used by the text classification service. The content can be raw text (‘inline’ content-type).
If the content is a file on S3 ('s3-bucket' content-type), pass the signed url.
Yes
Response
A successful response returns the classified text in a response array.
{
  "status": 200,
  "cas_responses": [
    {
      "status": 200,
      "analyzer_id": "Feature:cintel-text-classifier:Service-38a4cc7b286449e6bc1977f59df01b47",
      "content_id": "",
      "result": {
        "response_type": "feature",
        "response": [
          {
            "feature_name": "abc123",
            "feature_value": [
              {
                "feature_value": [
                  {
                    "feature_value": 0.6899315714836121,
                    "feature_name": "Embedded & IoT"
                  }
                ],
                "feature_name": "labels"
              },
              {
                "feature_name": "status",
                "feature_value": "success"
              }
            ]
          }
        ]
      }
    }
  ],
  "error": []
}