Identify if blog post contains a profanity
using AI
Below is a free classifier to identify if blog post contains a profanity. Just input your text, and our AI will predict if the blog post 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-blog-post-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-blog-post-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-blog-post-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 blog post 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 blog post contains profanity).
Whether you're just curious or building if blog post contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if blog post contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: Companies can use the profanity identifier to automatically moderate user-generated content on blogs and forums. By flagging posts that contain inappropriate language, businesses can ensure a safe and respectful online environment for their audience.
- Brand Reputation Management: Brands can utilize this function to monitor and filter out profanity in customer feedback or reviews. By maintaining a professional tone in public communications, companies can protect their reputation and improve customer trust.
- Ad Placement Optimization: Digital marketing platforms can incorporate profanity detection to avoid placing ads next to inappropriate content. By preventing their advertisements from appearing in environments with offensive language, advertisers can protect their brand image and enhance customer engagement.
- Sentiment Analysis Enhancement: Businesses that engage in sentiment analysis can pair the profanity identifier with their existing tools to gain more accurate insights. By filtering out profane language, they can focus on user sentiment while minimizing noise from offensive comments.
- Compliance and Legal Risk Management: Organizations can use this function to ensure that their publications adhere to industry regulations around language use. By identifying and addressing profanity in blog posts, companies can mitigate legal risks associated with harmful or offensive content.
- Employee Training and Awareness: Companies can employ the profanity identifier to analyze internal communications, helping to identify areas where staff members may use inappropriate language. This data can then be used to inform training programs aimed at fostering a more professional workplace culture.
- User Experience Improvement: Platforms that host blogs can leverage this function to proactively filter out harmful content, thereby enhancing user experience. By providing a cleaner and more welcoming environment, businesses can increase user retention and satisfaction.