Identify SMS sentiment
using AI
Below is a free classifier to identify SMS sentiment. Just input your text, and our AI will predict which emotion it is - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sms-sentiment-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/sms-sentiment-identifier/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/sms-sentiment-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict which emotion it is.
This pretrained text model uses the EmoContext dataset and has 4 labels, including Angry, Happy, Other, & Sad labels.
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 SMS sentiment detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify SMS sentiment at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Centers: Gauge customer sentiment in real-time to tailor responses and improve customer satisfaction.
- Market Research: Analyze consumer feedback via SMS surveys to understand public sentiment toward products.
- HR Departments: Monitor employee well-being by assessing sentiment in internal communication channels.
- Mental Health Support Services: Offer preliminary assessments of client messages to provide the appropriate support.
- Social Media Management Firms: Enhance social listening abilities by analyzing SMS interactions for sentiment trends.
- Political Campaign Teams: Measure public sentiment in response to campaign messages via SMS feedback.
- Educational Institutions: Understand student feedback about academic programs through text analysis.