Identify if address is in a text message
using AI
Below is a free classifier to identify if address is in a text message. Just input your text, and our AI will predict if an address is present - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-address-is-in-a-text-message", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-address-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-address-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 an address is present.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Address Not Present and Address Present.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if an address is present).
Whether you're just curious or building if address is in a text message detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if address is in a text message at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Spam Detection in Messaging Apps: This function can be employed in messaging applications to identify and filter out spam messages that contain addresses. By flagging messages with addresses, the app can alert users and potentially block unwanted promotional content or phishing attempts that lack legitimate context.
- Delivery Service Optimization: Delivery service platforms can utilize this function to automatically extract addresses from customer texts. This information can streamline order processing and logistics planning, ensuring efficient route mapping and timely deliveries based on the extracted address data.
- Customer Support Automation: In customer support systems, this identifier can recognize messages that include addresses that customers provide for service requests. By automating the process of extracting address details, support teams can expedite ticket resolution and service deployments significantly.
- Real Estate Lead Management: Real estate agencies can leverage this function to sift through inquiries and messages containing property addresses. Automatically identifying these addresses can help agents prioritize leads, schedule viewings, and better organize property listings associated with client requests.
- Healthcare Appointment Scheduling: Healthcare facilities can use this function to extract patient home addresses from appointment requests made via text. This enables efficient appointment scheduling, proper patient follow-up, and seamless integration with mapping services for home visits or telehealth arrangements.
- Event Registration Confirmation: Event organizers can adapt this identifier to confirm addresses provided by attendees in their registration texts. By ensuring accurate address capture, organizers can enhance logistics planning, including venue setup and communication of event location details to participants.
- Insurance Claim Processing: Insurance companies can implement this function to streamline claim processing by identifying addresses provided in claim-related text messages. By quickly extracting and validating these addresses, the claims team can improve data accuracy and reduce processing time for legitimate claims.