Identify if number is in a text message
using AI
Below is a free classifier to identify if number is in a text message. Just input your text, and our AI will predict if a number is present - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-number-is-in-a-text-message", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-number-is-in-a-text-message/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/if-number-is-in-a-text-message/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if a number is present.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contains Number and Does Not Contain Number.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if a number is present).
Whether you're just curious or building if number is in a text message detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if number is in a text message at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Fraud Detection in Banking: Financial institutions can utilize the number identification function to scan for suspicious text messages that may contain account numbers or transaction details. By flagging messages that contain unexpected or unfamiliar numbers, banks can prevent fraudulent activities and respond to potential threats in real-time.
- Customer Service Automation: Businesses can implement this function in chatbots to quickly identify order numbers or customer IDs in text inquiries. This allows automated systems to route requests efficiently and provide personalized responses based on the information extracted from the messages.
- Survey Data Analysis: Organizations conducting surveys via SMS can leverage the identifier to extract critical numerical responses, such as ratings or quantity inputs. This can enhance data processing efficiency, allowing for quicker analysis of customer feedback while minimizing manual review efforts.
- Logistics and Shipment Tracking: Delivery and logistics companies can analyze incoming texts for tracking numbers or shipment IDs. By automatically extracting this information, they can provide customers with timely updates about their delivery status without requiring additional inputs from the sender.
- Alerts and Notifications Management: Companies can utilize the number detection function to improve the management of alerts within communication systems. By identifying numerical identifiers related to specific alerts (like ticket numbers or reference codes), organizations can prioritize and escalate issues that require immediate attention.
- E-Commerce Purchase Confirmation: Online retailers can automate the confirmation process by identifying order numbers or transaction IDs in customer messages. This functionality ensures that customers receive prompt updates about their purchases, thus enhancing the overall shopping experience.
- Health Monitoring and Medication Reminders: Healthcare providers can use this function in patient communication systems to track responses that contain prescribed medication schedules or dosage information. By extracting relevant numerical data from messages, healthcare teams can ensure adherence to treatment plans and enhance patient engagement.