Identify spam SMS messages
using AI
Below is a free classifier to identify spam SMS messages. Just input your text, and our AI will predict if it's spam - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("sms-spam-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/sms-spam-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-spam-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it's spam.
This pretrained text model uses the sms_spam dataset and has 2 labels, including Not Spam vs. Spam.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's spam).
Whether you're just curious or building spam SMS messages detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify spam SMS messages at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Teleco Companies: Protect customers from unwanted spam messages by identifying and blocking them automatically.
- Mobile Security Apps: Offer users enhanced protection against phishing and scam texts by quickly classifying and flagging spam.
- Customer Service Departments: Improve customer query processing by filtering out spam messages from legitimate customer communications.
- Marketing Firms: Ensure compliance with communication regulations by distinguishing between legitimate marketing texts and spam.
- Email Service Providers: Implement cross-platform spam protection by integrating SMS spam detection with email filtering systems.
- Corporate IT Security: Safeguard employee mobile communications by detecting and alerting on potential SMS-based security threats.
- Data Analytics: Conduct research on spam trends and patterns by analyzing large volumes of SMS data for spam content.