Cloudmersive · Schema

SentimentAnalysisResponse

Output of a sentiment analysis operation

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Properties

Name Type Description
Successful boolean True if the sentiment analysis operation was successful, false otherwise
SentimentClassificationResult string Classification of input text into a sentiment classification; possible values are "Positive", "Negative" or "Neutral"
SentimentScoreResult number Sentiment classification score between -1.0 and +1.0 where scores less than 0 are negative sentiment, scores greater than 0 are positive sentiment and scores close to 0 are neutral. The greater the va
SentenceCount integer Number of sentences in input text
View JSON Schema on GitHub

JSON Schema

cloudmersive-sentiment-analysis-response-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/cloudmersive/json-schema/cloudmersive-sentiment-analysis-response-schema.json",
  "title": "SentimentAnalysisResponse",
  "description": "Output of a sentiment analysis operation",
  "x-generated": "2026-11-05",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/cloudmersive-analytics-api-openapi.yml#/components/schemas/SentimentAnalysisResponse",
  "type": "object",
  "properties": {
    "Successful": {
      "description": "True if the sentiment analysis operation was successful, false otherwise",
      "type": "boolean"
    },
    "SentimentClassificationResult": {
      "description": "Classification of input text into a sentiment classification; possible values are \"Positive\", \"Negative\" or \"Neutral\"",
      "type": "string"
    },
    "SentimentScoreResult": {
      "format": "double",
      "description": "Sentiment classification score between -1.0 and +1.0 where scores less than 0 are negative sentiment, scores greater than 0 are positive sentiment and scores close to 0 are neutral.  The greater the value deviates from 0.0 the stronger the sentiment, with +1.0 and -1.0 being maximum positive and negative sentiment, respectively.",
      "type": "number"
    },
    "SentenceCount": {
      "format": "int32",
      "description": "Number of sentences in input text",
      "type": "integer"
    }
  }
}

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