Identify if essay contains a profanity
using AI
Below is a free classifier to identify if essay contains a profanity. Just input your text, and our AI will predict if the essay contains 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-essay-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-essay-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-essay-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 essay 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 essay contains profanity).
Whether you're just curious or building if essay contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if essay contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation for Online Communities: This use case involves automatically scanning user-generated content, such as forum posts or comments, to identify essays containing profanity. By flagging or filtering out inappropriate language, community managers can maintain a respectful environment and enhance user engagement.
- Educational Platform Compliance: Online educational platforms can utilize this function to monitor student-submitted essays for profanity. This ensures that students maintain a level of professionalism in their submissions and helps educational institutions uphold academic integrity.
- Social Media Monitoring: Brands can implement the profanity identifier to analyze public sentiment by screening mentions and comments across social media platforms. By identifying offensive language in user feedback, businesses can better manage their reputation and address negative sentiment proactively.
- Human Resources and Job Applications: HR departments can use this tool to assess language used in applicants’ essays or cover letters. By ensuring that candidates present themselves professionally, organizations can filter out unsuitable applications and improve the overall quality of hires.
- Ad Placement Verification: Advertising platforms can automate the screening of content in essays or articles where ads may be displayed. By identifying profane language, these platforms can prevent brands from associating with inappropriate content, thereby preserving their reputation and appeal.
- Customer Feedback Analysis: Companies can apply this function to analyze essay-like feedback from customer surveys or reviews. Identifying profanity allows businesses to gain insights into customer frustrations while addressing issues in a more informed and sensitive manner.
- Compliance with Legal Standards: Organizations operating in regulated industries can use the profanity identifier to ensure all published materials comply with legal standards and guidelines. By preventing the dissemination of inappropriate language, companies can mitigate legal risks and protect their brand image.