Identify if satisfaction survey contains a curse word
using AI
Below is a free classifier to identify if satisfaction survey contains a curse word. Just input your text, and our AI will predict if the survey contains a curse word - 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-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-satisfaction-survey-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-satisfaction-survey-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 the survey 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 the survey contains a curse word).
Whether you're just curious or building if satisfaction survey contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if satisfaction survey contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Improvement: This use case involves automatically analyzing customer satisfaction surveys for curse words to identify issues with product or service dissatisfaction. By flagging these surveys, businesses can prioritize follow-ups with unhappy customers and address their concerns effectively.
- Brand Reputation Management: Monitoring satisfaction surveys for curse words can help businesses gauge public sentiment and identify negative feedback trends. This enables companies to proactively manage their brand reputation by swiftly addressing criticism and minimizing potential fallout.
- Employee Engagement Insights: Organizations can utilize curse word detection in internal employee satisfaction surveys to identify underlying morale issues. Recognizing strong negative sentiments helps HR teams intervene and foster a healthier workplace environment.
- Product Development Feedback: By analyzing qualitative feedback in surveys for curse words, product teams can gain insights into specific pain points customers face. This data can inform future product iterations and enhance overall user experience by addressing critical concerns.
- Marketing Campaign Assessment: Businesses can assess the effectiveness of marketing campaigns by analyzing post-campaign satisfaction surveys for negative language. Identifying customers’ reactions can guide future marketing strategies and optimize branding efforts.
- Customer Segmentation: Identifying curse words in customer feedback can help segment dissatisfied customers from neutral or positive respondents. This segmentation allows for targeted outreach and tailored solutions to enhance customer retention and loyalty.
- Predictive Analytics: Integrating curse word detection into predictive analytics models can help foresee potential churn risk among customers. By recognizing negativity early, organizations can implement retention strategies to reduce customer attrition and maintain revenue streams.