Identify if email is part of thread using AI

Below is a free classifier to identify if email is part of thread. Just input your text, and our AI will predict if the email is part of a thread - in just seconds.

if email is part of thread identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-email-is-part-of-thread", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-email-is-part-of-thread/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-is-part-of-thread/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the email is part of a thread.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Standalone and Threaded.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the email is part of a thread).

Whether you're just curious or building if email is part of thread detection into your application, we hope our classifier proves helpful.

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Need to identify if email is part of thread at scale?

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



  • Email Thread Management: This function helps organizations manage email threads by identifying whether a specific email is part of an ongoing conversation. By categorizing emails this way, users can easily track the history of discussions, ensuring they don’t miss important context or previous messages.

  • Customer Support Efficiency: In customer service environments, this function can streamline responses by identifying emails that are part of existing support threads. This allows agents to prioritize responses based on ongoing issues and access earlier communications quickly, improving response times and customer satisfaction.

  • Legal Document Review: Law firms can use this functionality to classify emails within legal correspondence threads. This assists attorneys in organizing case-related communications, ensuring they reference the right information and maintain a clear record of all relevant discussions.

  • Project Management Insights: For teams collaborating on projects through email, this identifier can distinguish emails that belong to specific project threads. It enhances team communication by allowing members to focus on relevant discussions and making project-related updates more efficient and coherent.

  • Marketing Campaign Analysis: Marketers can utilize this function to evaluate engagement by identifying emails that are part of marketing campaign threads. By analyzing responses within these threads, teams can better understand customer interactions and refine future campaigns for improved effectiveness.

  • Compliance Monitoring: In industries with strict regulatory requirements, this identifier can help audit email communications by determining which messages are part of compliance-related threads. This is vital for maintaining records and ensuring that all required communications are documented properly for regulatory reviews.

  • Knowledge Base Expansion: Organizations can use this classification function to capture and track knowledge-sharing emails that are part of specific threads. By identifying and archiving these communications, teams can build a robust knowledge base, aiding in employee training and knowledge retention over time.

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