Identify if text contains a profanity
using AI
Below is a free classifier to identify if text contains a profanity. Just input your text, and our AI will predict if the text contains a profanity - in just seconds.
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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-text-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-text-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-text-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 text 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 text contains a profanity).
Whether you're just curious or building if text contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if text contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation in Social Media: This function can be integrated into social media platforms to automatically filter user-generated content for profanity. By identifying and flagging inappropriate language, these platforms can uphold community guidelines and maintain a positive user experience.
- Customer Support Monitoring: Businesses can utilize this text classification function to monitor customer support interactions for profanity. This helps to identify escalating issues and provides insights into customer sentiment, allowing for timely intervention and improved service.
- Online Gaming Communities: This feature can be deployed in online gaming environments to monitor chat rooms for offensive language. By removing or blocking profane text, developers can create safer and more welcoming spaces for players of all ages.
- Blog and Forum Management: Website administrators can employ this function to scan comments and posts in blogs and forums for profanity. This automated moderation helps maintain a respectful discourse and encourages constructive conversations among users.
- Email Filtering Systems: Organizations can incorporate this functionality into their email filtering systems to detect profanity in incoming or outgoing messages. By doing so, companies can protect their brand's reputation from potentially damaging language and discourage unprofessional communication.
- Advertising Content Review: Marketing teams can use this text classification function to ensure that advertisements and promotional content do not contain profanity. This proactive approach helps avoid negative backlash and ensures compliance with advertising standards across various platforms.
- Training Data Preparation for AI Models: Researchers and developers working on natural language processing projects can utilize this function to clean datasets by removing text with profanity. This ensures that machine learning models are trained on high-quality text, leading to better performance and more accurate outcomes.