Identify language format
using AI
Below is a free classifier to identify language format. Just input your text, and our AI will predict the sentiment of customer reviews. - 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("language-format", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/language-format/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/language-format/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the sentiment of customer reviews..
This pretrained text model uses a Nyckel-created dataset and has 16 labels, including Bilingual, Code-Switching, Constructed Language, Creole Language, Foreign Language, Language Mixing, Legacy Language, Monolingual, Multilingual and Native Language.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the sentiment of customer reviews.).
Whether you're just curious or building language format detection into your application, we hope our classifier proves helpful.
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Need to identify language format at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
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- Fraud Detection in Financial Transactions: Financial institutions can leverage this function to identify fraudulent claims in customer communications and transaction descriptions. By recognizing false language, they can protect customers and reduce the risk of financial loss.
- Academic Publishing: Researchers and academic publishers can utilize this function to screen submissions for false or misleading language in research papers. This helps maintain the quality and credibility of published work while promoting ethical research practices.
- Political Campaign Compliance: Political organizations can employ this function to ensure that campaign materials do not contain false statements or misleading information. This contributes to transparency in political discourse and helps maintain trust in the electoral process.