Identify if product review contains a curse word
using AI
Below is a free classifier to identify if product review 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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Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-product-review-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-product-review-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-product-review-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 product review contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if product review contains a curse word at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Sentiment Analysis: Companies can utilize the curse word identifier to analyze customer sentiment more accurately. By filtering out negative language, businesses can identify trends related to product dissatisfaction and improve their offerings accordingly.
- Automated Moderation for Reviews: E-commerce platforms can implement this function to automatically flag or remove reviews containing inappropriate language. This helps maintain community standards and creates a more welcoming environment for potential customers.
- Brand Reputation Management: Brands can use the identifier to monitor customer feedback for offensive language that could harm their reputation. By proactively addressing such reviews, companies can mitigate damage and foster better customer relationships.
- Sentiment Tracking Over Time: Analysts can leverage the curse word data to track sentiment changes over time. By correlating spikes in curse word usage with specific events (like product launches or marketing campaigns), organizations can refine their strategies.
- Targeted Customer Support Interventions: Customer support teams can identify reviews with curse words to prioritize urgent responses. This allows them to address highly dissatisfied customers more effectively and potentially turn negative experiences into positive ones.
- Quality Control for Product Development: Product teams can utilize the curse word identifier to understand areas of improvement based on customer feedback. High occurrences of curse words may indicate serious issues that need to be addressed in future product iterations.
- Market Research Insights: Market researchers can analyze the frequency and context of curse words in reviews to gain insights into customer frustrations and desires. This information can inform marketing strategies and help create more appealing products tailored to consumer needs.