Identify if rules have examples
using AI
Below is a free classifier to identify if rules have examples. Just input your text, and our AI will predict if the email is spam - 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-rules-have-examples", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/if-rules-have-examples/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-rules-have-examples/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if the email is spam.
This pretrained text model uses a Nyckel-created dataset and has 2 labels, including Includes Examples and No Examples.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the email is spam).
Whether you're just curious or building if rules have examples detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if rules have examples at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Support Ticket Classification: This function can automatically classify incoming customer support tickets based on provided examples of issue types. By analyzing the text, it can categorize tickets such as technical issues, billing inquiries, or general feedback, streamlining the resolution process and enabling quicker responses.
- Email Phishing Detection: The True text classification function can identify emails that exhibit traits of phishing scams by comparing them to known examples. By filtering suspicious emails out of the inbox, organizations can protect sensitive information and prevent data breaches.
- Social Media Sentiment Analysis: Businesses can use this function to analyze social media posts and comments to identify sentiment trends based on previous examples. This insight can help brands understand public perception and engage more effectively with their audience.
- Document Categorization for Legal Firms: Law firms can leverage this classification function to categorize legal documents such as contracts, case briefs, and memoranda. By streamlining document management, attorneys can quickly retrieve relevant materials, improving efficiency in case preparation.
- Market Research Insights: The function can assist in analyzing survey responses or open-ended feedback by categorizing comments into predefined themes based on examples. This helps businesses derive actionable insights from customer feedback, enabling data-driven decision-making.
- Job Application Screening: HR departments can deploy this classification tool to screen resumes and cover letters against past successful profiles. This reduces bias and ensures a more efficient recruitment process by shortlisting candidates whose qualifications match desired examples.
- News Article Topic Classification: News organizations can use this function to classify articles into topics such as politics, technology, or health based on examples. This allows for improved organization of content, enabling readers to easily navigate to their areas of interest.