Identify if text message is work related using AI

Below is a free classifier to identify if text message is work related. Just input your text, and our AI will predict if the text message is work related - in just seconds.

if text message is work related identifier

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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-text-message-is-work-related", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-text-message-is-work-related/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-is-work-related/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the text message is work related.

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Personal and Work Related.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the text message is work related).

Whether you're just curious or building if text message is work related detection into your application, we hope our classifier proves helpful.

Recommended Classifiers

Need to identify if text message is work related at scale?

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



  • Email Sorting: Utilize the identifier to filter incoming emails in corporate communication tools, ensuring that work-related messages are prioritized. This can enhance productivity by allowing employees to focus on important tasks without distraction from unrelated messages.

  • Automated Response Systems: Implement the identifier in chatbots or customer support systems to distinguish between work-related inquiries and casual conversations. This could streamline service interactions, ensuring that work-related queries are directed to the appropriate department for timely responses.

  • Task Management Tools: Integrate the identifier into project management software to categorize messages as work-related or personal. By doing so, teams can better track and manage tasks, ensuring that all work-related communications are easily accessible and actionable.

  • Content Filtering for HR Policies: Apply the identifier in HR communication platforms to monitor text messages for work-related content, ensuring compliance with workplace policies. This can help organizations enforce standards and address any inappropriate or non-work-related communication.

  • Time Tracking Applications: Use the identifier to enhance time tracking tools by filtering logged text messages and notes for work-related activities only. This allows employees to focus their time management efforts solely on productive work interactions.

  • Data Analysis for Productivity Metrics: Leverage the identifier in analytics tools to assess the volume of work-related communications over time. This data can help managers identify trends, measure productivity, and allocate resources more effectively based on communication patterns.

  • Onboarding New Employees: Implement the identifier in onboarding platforms to curate relevant work-related messages and resources for new hires. This can facilitate a smoother transition into the workplace by ensuring that new employees receive only the necessary information for their roles.

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