Identify if forum post contains a profanity
using AI
Below is a free classifier to identify if forum post contains a profanity. Just input your text, and our AI will predict if the post 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-forum-post-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-forum-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-forum-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 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 post contains profanity).
Whether you're just curious or building if forum post contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if forum post contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This function can be used by online forums and community platforms to automatically identify and filter out posts that contain profanity. By flagging inappropriate content, these platforms can maintain a respectful environment and protect users from offensive language.
- User Behavior Analysis: Businesses can utilize this text classification function to analyze user-generated content within forums for trends in language usage over time. Understanding the frequency and context of profanity can help companies assess user sentiment and engagement levels, leading to better community management strategies.
- Sentiment Evaluation: Organizations can integrate this functionality into their customer feedback systems, allowing them to gauge the sentiment of posts. Posts containing profanity often indicate frustration or dissatisfaction, which can signal areas needing attention or improvement within products or services.
- Automated Reporting Tools: By implementing this function, forums can create automated reporting systems that notify moderators or community managers when profanity is detected. This can help streamline the moderation process, enabling quicker responses to rule violations and reducing the burden on human moderators.
- Ad Placement Optimization: Companies can leverage this profanity identifier to ensure that advertisements are not shown alongside inappropriate content that may deter users. By filtering out posts with profanity, businesses can enhance the user experience and increase the effectiveness of their advertising campaigns.
- User Behavior Training: Forums can implement this text classification as a part of their user onboarding processes, providing feedback to new users when their posts contain profanity. This can serve as an educational tool, encouraging users to adhere to community guidelines and fostering a positive atmosphere.
- Legal Compliance and Liability Management: Organizations can use this function to monitor user-generated content for potential legal compliance issues. By proactively identifying and addressing posts that contain profanity, companies can mitigate the risk of legal repercussions associated with offensive language or harassment within their communities.