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. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$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
}
}
}
}
}