Identify if review contains a profanity
using AI
Below is a free classifier to identify if review contains a profanity. Just input your text, and our AI will predict if a review 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-review-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-review-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-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 a review 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 a review contains profanity).
Whether you're just curious or building if review contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if review contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This use case involves automatically filtering out reviews that contain profanity before they are published on a website or platform. By identifying and removing inappropriate language, businesses can maintain a positive and professional environment for their customers.
- Sentiment Analysis Enhancement: Companies can integrate profanity identification into their sentiment analysis processes. By recognizing offensive language, businesses can gain deeper insights into customer emotions while eliminating skewed interpretations that profanity may introduce.
- Brand Reputation Management: Monitoring reviews for profanity can help businesses protect their brand reputation. By identifying and addressing profanity-laden comments, companies can respond proactively to customer concerns and mitigate potential public relations issues.
- Customer Support Training: This function can be used to analyze customer feedback collected through reviews. By identifying common profanities, businesses can tailor their customer support training programs to better handle difficult conversations with clients and improve service strategies.
- Compliance and Safety Monitoring: In industries with strict regulations, identifying profanity in reviews can help ensure compliance with industry standards. This helps to maintain safe and respectful communication, thereby protecting the organization from legal pitfalls arising from inappropriate customer interactions.
- Product Quality Control: Businesses can analyze product reviews for profane language to identify underlying issues with product quality or customer experience. High levels of offensive content may indicate systemic problems that require immediate attention and resolution.
- Marketing Strategy Development: By leveraging profanity identification in customer feedback, marketing teams can gain valuable insights into what language resonates (or does not resonate) with their audience. Understanding the context of profanity can aid in crafting targeted campaigns that align with customer sentiments and preferences.