Identify if blog post contains a curse word
using AI
Below is a free classifier to identify if blog post contains a curse word. Just input your text, and our AI will predict if the blog post contains a curse word - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-blog-post-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-blog-post-contains-a-curse-word/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-curse-word/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 a curse word.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Clean and Contains Curse Word.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the blog post contains a curse word).
Whether you're just curious or building if blog post contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if blog post contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This use case involves analyzing user-generated blog posts to ensure they adhere to community guidelines. By identifying posts that contain curse words, moderators can quickly flag or remove inappropriate content, maintaining a respectful environment for all users.
- Brand Safety Monitoring: Businesses can utilize this function to monitor blog content associated with their brand. By detecting curse words in related posts, companies can mitigate potential reputational risks and ensure their brand is not associated with offensive language.
- Audience Sentiment Analysis: Marketers can use the curse word identifier to gauge audience sentiment and engagement in blog posts. By analyzing the frequency and context of curse words, they can better understand user emotions and tailor their content strategy accordingly.
- Compliance Audit: Organizations in regulated industries can implement this functionality to ensure compliance with legal standards regarding inappropriate language. It enables automated checks for offensive language in their published content, reducing the risk of liability and legal issues.
- Automated Response Systems: Customer service platforms can integrate this identifier to enhance response mechanisms. By flagging posts with curses, the system can trigger alerts for human review or suggest automated responses that address the user's concerns without escalating negativity.
- Content Personalization: Content platforms can leverage curse word identification to curate a more personalized user experience. By understanding the language preferences of different audience segments, they can provide tailored recommendations, ensuring a more engaging and relevant content delivery.
- Sentiment-driven Advertising: Advertisers can use this function to optimize ad placements based on content sentiment. By avoiding placement on blogs that contain a high level of curse words, brands ensure their advertisements appear in a more positive context, enhancing brand perception and effectiveness.