Identify if review comment contains a profanity
using AI
Below is a free classifier to identify if review comment contains a profanity. Just input your text, and our AI will predict if the review comment 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-review-comment-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-review-comment-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-review-comment-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 review comment 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 review comment contains a profanity).
Whether you're just curious or building if review comment contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if review comment contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Feedback Monitoring: Companies can use the profanity identifier to analyze customer reviews and feedback across various platforms. By flagging reviews that contain inappropriate language, businesses can assess customer sentiment and identify areas for improvement in products or services.
- Content Moderation for User-Generated Content: Platforms that allow user-generated content, such as reviews or comments, can utilize the profanity identifier to moderate submissions. This ensures that the content published on their site meets community standards and maintains a respectful environment.
- Brand Reputation Management: Brands can monitor social media mentions and online reviews for profanity to protect their reputation. By identifying negative sentiment expressed through inappropriate language, companies can respond swiftly to mitigate damage and engage positively with affected customers.
- Quality Assurance in Customer Service Interactions: Customer service teams can use this classifier to review interactions and identify instances of profane language. This insight can help teams train agents better, improve communication strategies, and enhance overall customer experiences.
- Marketing Campaign Optimization: Marketers can analyze the sentiment of their campaigns by checking feedback for profanity. This data can lead to more sensitive messaging and targeted campaigns that appeal to broader audiences, ensuring positive reception.
- Workplace Behavior Monitoring: Organizations can implement this function in internal feedback platforms to identify unprofessional language among employees. By addressing instances of profane language, businesses can promote a more respectful and productive workplace culture.
- Compliance and Risk Management: Companies in regulated industries can leverage the profanity identifier to ensure compliance with communication standards. By identifying and addressing profane content, organizations can minimize legal risks and maintain professional communication channels.