Amazon Comprehend · Schema

Amazon Comprehend Entity

Schema for an Amazon Comprehend entity detection result, representing named entities identified in text through NLP analysis.

Machine-LearningNatural Language ProcessingNLPText Analysis

Properties

Name Type Description
Entities array A collection of entities identified in the input text.
Sentiment string The inferred sentiment detected in the input text.
SentimentScore object The confidence scores for each sentiment type.
KeyPhrases array A collection of key phrases identified in the input text.
Languages array The languages detected in the input text.
View JSON Schema on GitHub

JSON Schema

amazon-comprehend-entity-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://example.com/schemas/amazon-comprehend-entity.json",
  "title": "Amazon Comprehend Entity",
  "description": "Schema for an Amazon Comprehend entity detection result, representing named entities identified in text through NLP analysis.",
  "type": "object",
  "properties": {
    "Entities": {
      "type": "array",
      "description": "A collection of entities identified in the input text.",
      "items": {
        "$ref": "#/$defs/Entity"
      }
    },
    "Sentiment": {
      "type": "string",
      "description": "The inferred sentiment detected in the input text.",
      "enum": ["POSITIVE", "NEGATIVE", "NEUTRAL", "MIXED"]
    },
    "SentimentScore": {
      "type": "object",
      "description": "The confidence scores for each sentiment type.",
      "properties": {
        "Positive": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "Negative": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "Neutral": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "Mixed": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        }
      }
    },
    "KeyPhrases": {
      "type": "array",
      "description": "A collection of key phrases identified in the input text.",
      "items": {
        "$ref": "#/$defs/KeyPhrase"
      }
    },
    "Languages": {
      "type": "array",
      "description": "The languages detected in the input text.",
      "items": {
        "$ref": "#/$defs/DominantLanguage"
      }
    }
  },
  "$defs": {
    "Entity": {
      "type": "object",
      "description": "A named entity identified in the text.",
      "properties": {
        "Score": {
          "type": "number",
          "description": "The level of confidence that Comprehend has in the accuracy of the detection.",
          "minimum": 0,
          "maximum": 1
        },
        "Type": {
          "type": "string",
          "description": "The entity type.",
          "enum": [
            "PERSON",
            "LOCATION",
            "ORGANIZATION",
            "COMMERCIAL_ITEM",
            "EVENT",
            "DATE",
            "QUANTITY",
            "TITLE",
            "OTHER"
          ]
        },
        "Text": {
          "type": "string",
          "description": "The text of the entity."
        },
        "BeginOffset": {
          "type": "integer",
          "description": "The zero-based offset in the input text where the entity begins.",
          "minimum": 0
        },
        "EndOffset": {
          "type": "integer",
          "description": "The zero-based offset in the input text after the entity ends.",
          "minimum": 0
        }
      }
    },
    "KeyPhrase": {
      "type": "object",
      "description": "A key phrase detected in the text.",
      "properties": {
        "Score": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        },
        "Text": {
          "type": "string",
          "description": "The text of the key phrase."
        },
        "BeginOffset": {
          "type": "integer",
          "minimum": 0
        },
        "EndOffset": {
          "type": "integer",
          "minimum": 0
        }
      }
    },
    "DominantLanguage": {
      "type": "object",
      "description": "A language detected in the text.",
      "properties": {
        "LanguageCode": {
          "type": "string",
          "description": "The RFC 5646 language code for the dominant language."
        },
        "Score": {
          "type": "number",
          "description": "The confidence score for the detected language.",
          "minimum": 0,
          "maximum": 1
        }
      }
    }
  }
}

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