CNN News Articles
A text classifier trained on the CNN_News_Articles_2011-2022 dataset.
Use this public function to categorize your text data into Business, Entertainment, Health, and 3 other labels. Try it out below or contact us to get API access.
Not what you are looking for? Check out our other pretrained text classifiers or train your own custom text classifier.

Function Statistics
Total samples | 24,982 |
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Number of labels | 6 |
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Want to Use This Function?
Integrate this function into your product with one simple API call:
curl -X POST \ -H 'Authorization: Bearer <accessToken>' \ -F 'data=@<fileName>' \ 'https://www.nyckel.com/v1/functions/z68tteao3qdvu0o6/invoke'
import requests url = 'https://www.nyckel.com/v1/functions/z68tteao3qdvu0o6/invoke' headers = { 'Authorization': 'Bearer ' + '<accessToken>', } with open('<fileName>', 'rb') as f: result = requests.post(url, headers=headers, files={'data': f}) print(result.text)
const form = new FormData(); form.append('data', File(<fileBytes>, '<fileName>')); fetch('https://www.nyckel.com/v1/functions/z68tteao3qdvu0o6/invoke', { method: 'POST', headers: { 'Authorization': 'Bearer ' + '<accessToken>', }, body: form }) .then(response => response.json()) .then(data => console.log(data));
$ch = curl_init(); curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/z68tteao3qdvu0o6/invoke'); curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1); curl_setopt($ch, CURLOPT_POST, 1); $file = curl_file_create(realpath('<fileName>')); $fields = array('data' => $file); curl_setopt($ch, CURLOPT_POSTFIELDS, $fields); $headers = array(); $headers[] = 'Authorization: Bearer ' . '<accessToken>'; $headers[] = 'Content-Type: multipart/form-data'; curl_setopt($ch, CURLOPT_HTTPHEADER, $headers); $result = curl_exec($ch); curl_close($ch); echo $result;
Get in touch with the team at Nyckel to find out more and get API access.
Not What You're Looking For?
Check out our other pretrained text classifiers or train your own custom text classifier.