Identify if email indicates problem using AI

Below is a free classifier to identify if email indicates problem. Just input your text, and our AI will predict if there is an issue - in just seconds.

if email indicates problem identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-email-indicates-problem", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-email-indicates-problem/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-email-indicates-problem/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if there is an issue.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including No Issue and Problem Reported.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if there is an issue).

Whether you're just curious or building if email indicates problem detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if email indicates problem at scale?

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



  • Customer Support Triage: The email identifier can automatically classify customer support inquiries, prioritizing those that indicate problems. This allows support teams to focus on urgent issues first, improving response times and customer satisfaction.

  • Operational Risk Management: Organizations can utilize this classification to monitor emails for indications of operational issues or risks. By identifying potential problems early, management can take proactive measures to mitigate risks before they escalate.

  • Sales Alert System: Sales teams can use the identifier to catch emails from clients that express dissatisfaction or issues with products or services. This enables immediate follow-up actions to resolve concerns, ultimately fostering stronger client relationships and retaining business.

  • Quality Assurance Monitoring: The function can help quality assurance teams by flagging emails that report problems with products or services. This prompt identification allows teams to investigate underlying issues and implement corrective actions swiftly.

  • IT Incident Response: IT departments can employ the identifier to sift through helpdesk emails for technical problems reported by users. Automating this process ensures IT resources are allocated effectively to resolve critical incidents promptly.

  • Feedback Loop for Product Development: The classification tool can gather emails that indicate product problems, feeding valuable insights to the product development team. Identifying recurring issues aids in refining and enhancing products based on real user feedback.

  • Customer Experience Enhancement: Companies can track and analyze emails indicating problems to gain insights into customer pain points. Understanding these issues allows organizations to refine their services, improving overall customer experience and loyalty.

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