Identify if product review contains a profanity
using AI
Below is a free classifier to identify if product review contains a profanity. Just input your text, and our AI will predict if the product review contains a profanity - 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-product-review-contains-a-profanity", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-product-review-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-product-review-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 product review 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 product review contains a profanity).
Whether you're just curious or building if product review contains a profanity detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if product review contains a profanity at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Sentiment Analysis: By identifying profanity in product reviews, businesses can gauge overall customer sentiment toward their products. High instances of profanity could indicate frustration or dissatisfaction, prompting further investigation into specific issues.
- Moderation and Compliance: E-commerce platforms can use profanity detection to ensure that user-generated content complies with community guidelines. This helps maintain a respectful environment and protect the brand's reputation by filtering out inappropriate reviews.
- Feedback Improvement Loop: Businesses can analyze reviews containing profanity to identify common pain points in products or services. This targeted feedback can be used to drive product improvements, enhancing customer satisfaction and loyalty.
- Customer Service Enhancement: Identifying profanity in reviews allows customer support teams to promptly address negative feedback. By prioritizing these reviews, companies can proactively reach out to dissatisfied customers to rectify issues and improve their experience.
- Reputation Management: Brands can monitor reviews for profanity as a part of their reputation management strategy. This allows them to swiftly respond to negative perceptions and manage their online image effectively, ensuring a better public perception.
- Marketing Strategy Optimization: By understanding the language and themes in profanity-laden reviews, marketing teams can refine their messaging. They can tailor their campaigns to counter negative sentiment or highlight features that resonate positively with customers.
- Product Launch Readiness: Prior to launching new products, businesses can analyze existing product reviews for profane language to assess potential areas of concern. This can inform the development of strategies to mitigate risks associated with negative feedback upon launch.