Identify if feedback contains a curse word
using AI
Below is a free classifier to identify if feedback contains a curse word. Just input your text, and our AI will predict if it contains a curse word - 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-feedback-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-feedback-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-feedback-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 it 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 it contains a curse word).
Whether you're just curious or building if feedback contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if feedback contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Sentiment Analysis: By using the curse word identifier, businesses can analyze customer feedback to gauge sentiment. High occurrences of curse words may indicate dissatisfaction or frustration, allowing companies to address issues proactively and improve customer experience.
- Brand Reputation Management: Organizations can monitor online mentions and reviews for the presence of curse words. This real-time feedback helps in identifying potential PR crises early, enabling the company to respond appropriately and manage its reputation.
- Product Improvement Feedback: When customers leave comments or reviews containing curse words, it often signals serious concerns about a product. By identifying these instances, companies can prioritize areas for improvement and enhance product quality based on direct user feedback.
- Content Moderation: Social media platforms and forums can employ the curse word identifier to filter inappropriate user-generated content. This ensures community guidelines are maintained, fostering a safer and more respectful environment for all users.
- Customer Support Prioritization: Customer support teams can use the curse word identifier to flag tickets or messages that may require urgent attention. By prioritizing these interactions, businesses can provide quicker resolutions to dissatisfied customers.
- Survey Feedback Analysis: In surveys that allow open-ended responses, the identifier can help pinpoint areas of concern by detecting curse words. This can enrich data analysis and highlight specific aspects of service or product performance that may need attention.
- Social Listening and Trends Analysis: Businesses can use the curse word identifier in social listening tools to identify trends in public sentiment. By tracking frequent curse word usage over time, companies can better understand shifts in customer attitudes and market demands.