Identify if support ticket contains a profanity
using AI
Below is a free classifier to identify if support ticket contains a profanity. Just input your text, and our AI will predict if the support ticket contains profanity - in just seconds.
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-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-support-ticket-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-support-ticket-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 support ticket contains 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 support ticket contains profanity).
Whether you're just curious or building if support ticket contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if support ticket contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Experience Improvement: By identifying support tickets that contain profanity, businesses can better manage customer interactions. This allows for targeted responses that address the underlying frustration, helping to enhance overall client satisfaction and loyalty.
- Agent Training and Development: Analyzing tickets with profanity can provide valuable insights into customer pain points. This information can be used to train support agents on handling difficult situations, which aids in developing soft skills and improving their performance in future interactions.
- Quality Assurance Monitoring: The profanity identifier can be integrated into quality assurance processes to flag problematic tickets. This helps quality control teams assess how support is being delivered and ensures that agents are following protocols while maintaining professionalism.
- Sentiment Analysis Enhancement: Incorporating profanity detection into sentiment analysis algorithms can improve the accuracy of sentiment scoring. By understanding the intensity of customer emotions, businesses can tailor their responses and strategies accordingly.
- Crisis Management: Proactively flagging tickets with profanity can alert management to potential crises or recurring issues. This enables quicker intervention and strategic adjustments before minor issues escalate into larger problems.
- Community Standards Enforcement: For businesses with user-generated content or community interactions, monitoring profanity in support tickets can help enforce community guidelines. This maintains a respectful environment and supports brand image while addressing user concerns effectively.
- Trend Analysis and Reporting: Tracking the frequency and context of profanity in customer support can provide insights into trending issues or dissatisfaction themes. This data can inform product improvements and help the business understand the root causes of customer grievances.