Identify if satisfaction survey contains a profanity
using AI
Below is a free classifier to identify if satisfaction survey contains a profanity. Just input your text, and our AI will predict if the satisfaction survey contains a profanity - in just seconds.
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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-satisfaction-survey-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-satisfaction-survey-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-satisfaction-survey-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 satisfaction survey 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 satisfaction survey contains a profanity).
Whether you're just curious or building if satisfaction survey contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if satisfaction survey contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Feedback Monitoring: This use case involves using the profanity identifier to analyze customer satisfaction surveys for inappropriate language. The insights gained can help businesses understand customer frustration and identify issues needing immediate attention.
- Brand Reputation Management: By identifying profanity in satisfaction surveys, businesses can take proactive steps to mitigate negative sentiment. This can guide marketing and PR strategies, ensuring that the brand's perception remains positive and professional in the eyes of consumers.
- Employee Training and Development: This functionality can be used to assess the effectiveness of customer service teams by reviewing the language used in surveys. Insights from flagged surveys can highlight areas for improvement and contribute to targeted training initiatives.
- Product Development Insights: Analyzing surveys for profanity can reveal underlying product or service issues causing customer dissatisfaction. Businesses can use this information to prioritize product improvements and enhance the overall customer experience.
- Automated Reporting: The profanity identifier can automate the reporting process by generating alerts for surveys containing inappropriate language. By streamlining this workflow, teams can focus on resolving issues rather than sifting through data manually.
- Sentiment Analysis Enhancement: By integrating the profanity identifier with existing sentiment analysis tools, businesses can gain a deeper understanding of customer feedback. This can lead to more nuanced insights into customer satisfaction and areas needing improvement.
- Risk Assessment and Compliance: Companies can use this function to monitor customer feedback for compliance with industry standards regarding language use. Identifying profanity can help manage risk and ensure that customer interactions align with company policies and regulations.