Identify if review comment contains a curse word
using AI
Below is a free classifier to identify if review comment contains a curse word. Just input your text, and our AI will predict if the review comment 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-review-comment-contains-a-curse-word", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-review-comment-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-review-comment-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 review comment 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 review comment contains a curse word).
Whether you're just curious or building if review comment contains a curse word detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if review comment 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 integrate a curse word identifier within their customer feedback systems to analyze sentiment more accurately. By identifying negative language, businesses can flag reviews that require immediate attention and generate insights into customer dissatisfaction.
- Content Moderation: Online platforms can use the identifier to automatically flag inappropriate user-generated content. This can help maintain a positive community environment by filtering out harmful language before it is publicly visible.
- Brand Reputation Management: Brands can use the curse word identifier in social media monitoring tools to gauge public sentiment and identify harmful comments that could affect their reputation. Swift responses to such comments can help mitigate negative public perception and enhance brand loyalty.
- Customer Support Enhancement: Customer service teams can utilize the identifier to prioritize ticket handling based on the emotional tone of customer inquiries. Reviews or queries containing curse words might indicate higher levels of frustration, allowing agents to address such issues more urgently.
- Product Review Insights: E-commerce platforms can analyze product reviews for the presence of curse words to identify popular pain points. Understanding the specific issues customers highlight with strong language can guide product improvements and inform development teams.
- Targeted Marketing Campaigns: Marketing teams can use the identifier to segment their audience based on language tone in reviews. Targeting customers who express strong feelings can lead to better-tailored campaigns aimed at addressing complaints or celebrating positive feedback.
- Quality Control for User Feedback: Businesses can implement the curse word identifier to monitor the quality of feedback collected through surveys and reviews. High instances of profanity may indicate issues with the survey design or the need for better customer engagement strategies.