Identify if performance review contains a profanity using AI

Below is a free classifier to identify if performance review contains a profanity. Just input your text, and our AI will predict if the performance review contains a profanity - in just seconds.

if performance review contains a profanity 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-performance-review-contains-a-profanity", "your_text_here", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/if-performance-review-contains-a-profanity/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-performance-review-contains-a-profanity/invoke
                

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict if the performance review contains a profanity.

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

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the performance review contains a profanity).

Whether you're just curious or building if performance review contains a profanity detection into your application, we hope our classifier proves helpful.

Related Classifiers

Need to identify if performance review contains a profanity at scale?

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



  • HR Compliance Monitoring: This use case aims to ensure that all performance reviews are professional and adhere to company policies regarding language use. By identifying any reviews that include profanity, HR can proactively address any potential issues before they escalate, fostering a more respectful workplace culture.

  • Employee Feedback Analysis: Organizations can utilize this function to analyze the language in performance reviews and assess employee sentiment. By flagging reviews with profanity, they can gauge areas of discontent or frustration among employees, helping to inform management strategies.

  • Training and Development Needs: Performance reviews containing profanity may indicate that employees are struggling with their roles or are feeling overwhelmed. By identifying these instances, companies can tailor training programs and support resources to assist employees who may be on the verge of burnout or dissatisfaction.

  • Management Performance Assessment: This tool can be instrumental in evaluating managers’ communication styles. By examining performance reviews for profanity, companies can provide feedback to managers on their language and help them improve their communication with employees, promoting a more positive atmosphere.

  • Cultural Fit Evaluation: Companies can analyze performance reviews to ensure alignment with their organizational culture and values. Flagging profanity helps identify cultural discrepancies and potential issues with employee values, allowing leadership to address them constructively.

  • Conflict Resolution Initiatives: Reviews that include profanity could signal underlying conflicts between employees and management or amongst peers. By identifying these reviews, HR can facilitate conflict resolution sessions to address issues and improve workplace relationships.

  • Retention Strategy Optimization: Profanity in performance reviews may indicate employee dissatisfaction or unhappiness, which could contribute to higher turnover rates. By tracking and analyzing these instances, companies can develop targeted retention strategies to improve employee satisfaction and reduce attrition.

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