Identify rude text
using AI
Below is a free classifier to identify rude text. Just input your text, and our AI will predict whether the text is rude or not - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("rude-text-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/rude-text-identifier/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/rude-text-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict whether the text is rude or not.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Not Rude and Rude.
We'll also show a confidence score (the higher the number, the more confident the AI model is around whether the text is rude or not).
Whether you're just curious or building rude text detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify rude text at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Social Media Monitoring: Businesses can use this function to monitor and filter out offensive or inappropriate comments and posts on their social media platforms to maintain a positive and respectful digital environment for their audiences, ensuring their brand image is maintained.
- Work Communication Etiquette: The function can be integrated within an organization’s internal communication tools to automatically flag and report any disrespectful or unprofessional language in email or chat conversations, promoting a positive workplace environment.
- Customer Feedback Analysis: It can be used to categorize user generated content such as comments, reviews, and emails as rude or not, assisting customer service representatives in prioritizing and better responding to customer concerns.
- Content Moderation in Forums & Discussion Boards: Forums and discussion boards can use this function to identify and block offensive content before it's publicly visible, reducing the risk of verbal confrontations and maintaining civil discourse.
- Chatbot Interaction: This function can be employed in AI-powered chatbots to ensure they don’t respond to messages that contain offensive language, reducing the chances of inappropriate interactions.
- Cyber Bullying Prevention: Online platforms geared towards younger audiences can utilize this function to detect and prevent bullying or cyber harassment by identifying abusive or threatening language.
- AI Training: Training AI and machine learning models to understand human language and respond appropriately is essential. This function can be utilized to classify and filter out rude texts to ensure that the AI is not learning or replicating disrespectful language.