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": 2594,
        "total_tokens": 2689
  }
}

​
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.
​
_usage
object
Usage information for the API call.
​
sentiment
object
Contains the sentiment analysis results.
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": 2594,
        "total_tokens": 2689
  }
}