Identify if comment contains a profanity
using AI
Below is a free classifier to identify if comment contains a profanity. Just input your text, and our AI will predict if the comment 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-comment-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-comment-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-comment-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 comment 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 comment contains a profanity).
Whether you're just curious or building if comment contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if comment contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Moderation: Companies can utilize the profanity identifier in customer support channels to automatically filter out inappropriate language from customer comments. This helps maintain a professional environment and ensures that support agents are not exposed to offensive language, improving overall team morale.
- Social Media Monitoring: Businesses can implement this function to scan comments and posts on social media platforms for profanity. Identifying and moderating such content allows companies to protect their brand image and engage positively with their audience while minimizing backlash from offensive user-generated content.
- User-Generated Content Platforms: Online platforms that rely on user-generated content can apply the profanity identifier to automatically review comments and submissions. This helps maintain community standards and ensures a safe and respectful environment for all users, potentially reducing the need for manual moderation.
- Advertising Content Approval: Marketing teams can leverage the functionality to screen user comments on ad campaigns for profane language before the content goes live. This preemptive step can prevent negative backlash and protect the brand from being associated with inappropriate content.
- Feedback and Survey Analysis: Businesses can enhance their feedback mechanisms by running the profanity identifier on comments provided in surveys or reviews. By filtering out profane language, companies can better analyze genuine feedback while addressing any underlying issues regarding user satisfaction appropriately.
- Community Guidelines Enforcement: Online communities and forums can deploy this identifier to ensure adherence to their conduct policies. By automatically identifying and flagging inappropriate language, administrators can quickly take action against rule violators, fostering a culture of respect and safety.
- Content Moderation in Online Gaming: Multiplayer online games can use the profanity identifier to monitor in-game chat for inappropriate language. This ensures a more enjoyable gaming experience for all players and helps developers enforce community standards, thereby reducing toxicity and enhancing player retention.