Swedish Website Reviews

A text classifier trained on the swedish_reviews dataset.

Use this public function to categorize your text data into Negative vs. Positive. 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	22,874
Number of labels	2
Labels

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/3jiuo7bp7si6398u/invoke'

import requests

url = 'https://www.nyckel.com/v1/functions/3jiuo7bp7si6398u/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/3jiuo7bp7si6398u/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + '<accessToken>',
    },
    body: form
})
.then(response => response.json())
.then(data => console.log(data));

$ch = curl_init();

curl_setopt($ch, CURLOPT_URL, 'https://www.nyckel.com/v1/functions/3jiuo7bp7si6398u/invoke');
curl_setopt($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.