Identify spectral class
using AI
Below is a free classifier to identify spectral class. Just input your text, and our AI will predict what spectral class an astronomical object belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("spectral-class", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/spectral-class/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/spectral-class/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict what spectral class an astronomical object belongs to.
This pretrained text model uses a Nyckel-created dataset and has 10 labels, including A Type, B Type, F Type, G Type, K Type, L Type, M Type, O Type, T Type and Y Type.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what spectral class an astronomical object belongs to).
Whether you're just curious or building spectral class detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify spectral class at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: The spectral class identifier can be employed by content moderation teams to classify user-generated text. By identifying false or misleading content, platforms can take proactive measures to enhance user safety and uphold community standards.
- Social Media Monitoring: Brands can utilize the spectral class identifier to monitor discussions around their products or services on social media. This tool helps in spotting false narratives or misinformation quickly, allowing brands to respond effectively and maintain their reputation.
- News Verification: News organizations can integrate this identifier to automatically classify articles and headlines as false or misleading. This application can assist fact-checkers in efficiently prioritizing which news pieces require further investigation before publication.
- E-commerce Product Descriptions: E-commerce platforms can deploy the spectral class identifier to assess the authenticity of product descriptions from third-party sellers. Ensuring that false claims are filtered can foster consumer trust and improve the overall shopping experience.
- Email Spam Detection: Email service providers can leverage this function to analyze incoming messages and classify them based on the likelihood of containing false information. This can reduce spam and phishing attacks that rely on misleading text, protecting users from potential harm.
- Regulatory Compliance: Financial institutions can use the spectral class identifier to scan communications for false claims or misleading information related to financial products. This ensures compliance with regulatory standards while safeguarding consumer interests.
- Educational Content Assessment: Educational platforms can apply this identifier to evaluate the credibility of materials submitted by users. By flagging potential false information, these platforms can maintain high educational standards and promote factual learning.