Identify if feedback contains a profanity
using AI
Below is a free classifier to identify if feedback contains a profanity. Just input your text, and our AI will predict if it contains a 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-feedback-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-feedback-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-feedback-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 it 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 it contains a profanity).
Whether you're just curious or building if feedback contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if feedback contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Monitoring: This use case involves analyzing customer feedback and support interactions to identify instances of profanity. By filtering out profane language, companies can assess the tone of customer sentiments, enabling them to better address issues and improve service quality.
- Social Media Moderation: Organizations can utilize a profanity identifier to monitor user comments and posts on their social media platforms. By automatically flagging or removing inappropriate content, they maintain a positive brand image and create a safer community for followers.
- Content Filtering for User-Generated Content: Platforms that allow user-generated content can implement this function to screen submissions for profane language. This ensures that all visible content adheres to community guidelines and enhances user experience by minimizing offensive material.
- Employee Feedback Analysis: Companies can analyze internal employee feedback and surveys for profanity to gauge workplace sentiment. Identifying overly negative or hostile language may highlight areas of concern within the company culture that need to be addressed.
- Chatbot Response Improvement: By incorporating a profanity identifier into chatbot interactions, businesses can enhance the accuracy of responses. The system can identify users who are frustrated or dissatisfied and escalate those conversations to human agents for more personalized support.
- Reputation Management: Businesses can leverage this functionality to monitor online reviews and mentions across various platforms for offensive language. This helps identify dissatisfied customers who may be impacting the brand's reputation, allowing for timely interventions and responses.
- Compliance and Risk Management: Financial institutions and other regulated industries can use profanity detection to ensure that customer interactions meet compliance standards. By identifying and addressing inappropriate language, they minimize risks associated with negative customer interactions and potential reputational damage.