Identify if support ticket contains a curse word using AI

Below is a free classifier to identify if support ticket contains a curse word. Just input your text, and our AI will predict if it contains a curse word - in just seconds.

if support ticket contains a curse word identifier

Contact us for API access

Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.

Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("if-support-ticket-contains-a-curse-word", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-support-ticket-contains-a-curse-word/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-support-ticket-contains-a-curse-word/invoke
                

How this classifier works

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

This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Clean and Contains Curse Word.

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

Whether you're just curious or building if support ticket contains a curse word detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if support ticket contains a curse word at scale?

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



  • Customer Sentiment Analysis: This function can be utilized to automatically identify if a support ticket contains curse words, allowing companies to gauge customer frustration or dissatisfaction. By analyzing the frequency and context of such language, businesses can gain valuable insights into customer sentiment and improve their support processes.

  • Priority Flagging: When a support ticket is flagged for containing curse words, it can be automatically upgraded in priority within the support system. This ensures that potentially aggravated customers receive faster responses, improving customer satisfaction and loyalty to the brand.

  • Training and Monitoring Support Staff: By analyzing support tickets with curse words, management can identify training opportunities for support staff. It can also help in monitoring employee responses to challenging situations, ensuring they maintain professionalism and providing insights for additional training on conflict resolution.

  • Product Improvement Feedback Loop: Identifying tickets that contain curse words can signal areas of product functionality that may require enhancement or attention. By tracking patterns in support tickets, businesses can prioritize updates or fixes that prevent future customer frustration.

  • Automated Response Development: The identification of curse words in support tickets can inform the creation of tailored automated responses or scripts for support agents. By addressing the root cause of the customer's emotion, companies can craft more empathetic replies and effectively diffuse tensions.

  • Reputation Management: This feature can be integrated into a larger reputation management system to monitor real-time customer feedback. By identifying curse words, businesses can proactively address negative sentiments and work towards preserving their public image and customer relationships.

  • Compliance and Guidelines Enforcement: Monitoring support tickets for inappropriate language can help ensure that customer support adheres to company communication guidelines and legal compliance. This can prevent escalation and help mitigate potential risks related to customer interactions, especially in industries with strict regulatory requirements.

Start building custom ML models today

Rapidly develop and deploy custom ML models that are accurate, secure, and easy to integrate. No Phd required.

Get started Book demo