Analyze text sentiment
using AI
Below is a free classifier that uses AI to analyze the sentiment of text. Outputs include positive, negative, and neutral.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("text-sentiment-analyzer", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/text-sentiment-analyzer/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/text-sentiment-analyzer/invoke
How this classifier works
This free tool looks at any text input and analyzes it for sentiment. It'll tell you whether the text is positive, negative, or neutral. Request API access to analyze as many text rows as you need.
This pretrained text model uses the tweet_eval dataset and has 3 labels, including Negative, Neutral, & Positive.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which emotion it is).
Whether you're just curious or building text sentiment detection into your application, we hope our classifier proves helpful.
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Need to identify text sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
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