POST
/
v1
/
ai
/
sentiment
import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.sentiment({
  "text": "I love this product! It's amazing but the delivery was a bit late."
})

{
  "success": true,
  "sentiment": {
        "emotion": "love",
        "sentiment": "positive",
        "score": 0.85,
        "sentences": [
              {
                    "text": "I love this product!",
                    "emotion": "love",
                    "sentiment": "positive",
                    "score": 0.9
              },
              {
                    "text": "It's amazing but the delivery was a bit late.",
                    "emotion": "satisfaction",
                    "sentiment": "positive",
                    "score": 0.8
              }
        ]
  },
  "_usage": {
        "input_tokens": 20,
        "output_tokens": 75,
        "inference_time_tokens": 1898,
        "total_tokens": 1993
  }
}

​
Request Parameters

​
Body

​
text
string
required

The text content to analyze for sentiment and emotion.

​
x-api-key
string
required

Your JigsawStack API key

​
Response Structure

​
success
boolean

Indicates whether the call was successful.

​
sentiment
object

Contains the sentiment analysis results.

​
emotion
string

The overall emotional tone of the text. Supported emotions include: anger fear sadness happiness anxiety disgust embarrassment love surprise shame envy satisfaction self-confidence annoyance boredom hatred compassion guilt loneliness depression pride neutral

​
sentiment
string

The overall sentiment classification, typically “positive”, “negative”, or “neutral”.

​
score
number

Numerical score representing the sentiment intensity, typically on a scale from 0 to 1, where higher values indicate more positive sentiment.

​
sentences
array

Detailed sentiment analysis broken down by individual sentences.

import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.sentiment({
  "text": "I love this product! It's amazing but the delivery was a bit late."
})

{
  "success": true,
  "sentiment": {
        "emotion": "love",
        "sentiment": "positive",
        "score": 0.85,
        "sentences": [
              {
                    "text": "I love this product!",
                    "emotion": "love",
                    "sentiment": "positive",
                    "score": 0.9
              },
              {
                    "text": "It's amazing but the delivery was a bit late.",
                    "emotion": "satisfaction",
                    "sentiment": "positive",
                    "score": 0.8
              }
        ]
  },
  "_usage": {
        "input_tokens": 20,
        "output_tokens": 75,
        "inference_time_tokens": 1898,
        "total_tokens": 1993
  }
}

Was this page helpful?

Suggest editsRaise issue