Identify if text message contains contact info using AI

Below is a free classifier to identify if text message contains contact info. Just input your text, and our AI will predict if it contains contact info - in just seconds.

if text message contains contact info identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-text-message-contains-contact-info", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-text-message-contains-contact-info/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-text-message-contains-contact-info/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if it contains contact info.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Contact Info and No Contact.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if it contains contact info).

Whether you're just curious or building if text message contains contact info detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if text message contains contact info at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Lead Qualification: This function can automatically identify and extract contact information from incoming text messages related to potential sales leads. By analyzing messages for phone numbers and emails, sales teams can prioritize follow-ups with leads that provide actionable contact details.

  • Customer Support Optimization: Customer support platforms can use this classification function to streamline ticketing processes. When customers include contact information in support requests, the system can prioritize those tickets and provide agents with direct communication options, enhancing response times.

  • Marketing Campaign Effectiveness: Marketers can leverage this function to assess the effectiveness of text message campaigns. By analyzing responses for embedded contact information, marketers can gauge engagement levels and follow up with interested consumers, increasing conversion rates.

  • Compliance and Regulations Monitoring: Organizations can ensure adherence to data protection regulations by monitoring text communications for unsolicited contact info sharing. The identifier can flag instances where individuals provide personal contact information without proper consent, aiding in compliance efforts.

  • CRM Data Enrichment: When businesses receive text messages containing contact info, this function can assist in automatically updating customer relationship management (CRM) systems. By identifying and validating the information, businesses can maintain accurate and enriched customer profiles.

  • Event Registration Handling: Event organizers can utilize this classification to streamline the registration process via text messaging. By capturing contact information from participants quickly, they can efficiently manage attendee lists and communication channels for event-related updates.

  • Fraud Detection: This identifier can contribute to fraud prevention strategies by flagging unusual or unauthorized requests for contact information. By monitoring incoming messages, it can help security teams identify potential scams and take preventive measures to protect customer data.

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