Identify if customer complaint contains a curse word
using AI
Below is a free classifier to identify if customer complaint contains a curse word. Just input your text, and our AI will predict if it contains a curse word - 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-customer-complaint-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-customer-complaint-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-customer-complaint-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 customer complaint contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if customer complaint contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Prioritization: The curse word identifier can be integrated into customer support systems to prioritize responses. Complaints containing profanity may indicate heightened frustration, allowing support teams to address these issues more urgently to improve customer satisfaction.
- Sentiment Analysis Enhancement: By tagging complaints with curse words, businesses can refine their sentiment analysis algorithms. Understanding the presence of foul language can provide deeper insights into customer feelings, helping teams adjust products or services accordingly.
- Social Media Monitoring: Companies can employ the curse word identifier in social media monitoring tools to gauge public sentiment and brand reputation. Posts or comments containing inappropriate language can trigger alerts for immediate attention, allowing brands to manage their PR proactively.
- Quality Assurance for Customer Interactions: The identifier can be utilized in quality assurance processes to review interactions between customers and representatives. Identifying instances where customers resort to profanity can signal underlying issues, prompting training and process improvements for staff.
- Product Improvement Feedback Loop: By analyzing customer complaints that include curse words, companies can identify recurring issues related to specific products or services. This insight can lead to targeted improvements, enhancing user experience and reducing future complaints.
- Marketing Campaign Responses: Businesses can use the curse word identifier to filter feedback from marketing campaigns. Understanding how customers react emotionally to promotions can help refine messaging strategies and address potential pitfalls in communication.
- Compliance and Risk Management: In industries with strict regulatory standards, identifying curse words in customer complaints can aid compliance teams in risk assessment. By monitoring and addressing instances of severe discontent, organizations can mitigate legal and reputational risks more effectively.