Identify magnitude range
using AI
Below is a free classifier to identify magnitude range. Just input your text, and our AI will predict the magnitude range of seismic events. - 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("magnitude-range", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/magnitude-range/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/magnitude-range/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the magnitude range of seismic events..
This pretrained text model uses a Nyckel-created dataset and has 5 labels, including Bright, Dim, Moderate, Very Bright and Very Dim.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the magnitude range of seismic events.).
Whether you're just curious or building magnitude range detection into your application, we hope our classifier proves helpful.
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Need to identify magnitude range at scale?
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- Quality Control in E-commerce: E-commerce platforms can employ this classification function to review product reviews, determining which products are receiving feedback in different magnitude ranges. This helps in identifying quality issues and taking corrective actions to ensure customer satisfaction.
- Risk Assessment in Healthcare: In healthcare settings, this identifier can classify patient data, such as vital signs or lab results, into magnitude ranges to assess risk levels. Clinicians can proactively address deviations from normal ranges, improving patient care and outcomes.
- Customer Experience Optimization: Businesses can analyze customer support ticket data, categorizing the severity or urgency of issues based on magnitude ranges. This enables them to prioritize service responses and enhance overall customer experience.
- Market Trend Analysis: Organizations can leverage this classification tool to analyze market data, such as fluctuations in commodity prices or sales figures, to identify significant trends and shifts. By understanding the magnitude of changes, businesses can make informed strategic decisions and improve forecasting accuracy.