Text Classification Developer Tools 1.1

Here you have simple examples of requests to the Text Classification API. You can use them to test a sample request and get an example response in a quick and easy way, right in your favorite programming language.

  CURL *curl;
  CURLcode res;
  curl = curl_easy_init();
  if(curl) {
    curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
    curl_easy_setopt(curl, CURLOPT_URL, "https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>");
    curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
    curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
    struct curl_slist *headers = NULL;
    curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
    res = curl_easy_perform(curl);
  }
  curl_easy_cleanup(curl);

  var client = new RestClient("https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>");
  client.Timeout = -1;
  var request = new RestRequest(Method.POST);
  IRestResponse response = client.Execute(request);
  Console.WriteLine(response.Content);

  curl --location --request POST 'https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>'

  var settings = {
    "url": "https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>",
    "method": "POST",
    "timeout": 0,
  };

  $.ajax(settings).done(function (response) {
    console.log(response);
  });

  var https = require('follow-redirects').https;
  var fs = require('fs');

  var options = {
    'method': 'POST',
    'hostname': 'api.meaningcloud.com',
    'path': '/class-1.1?key=<your_key>&txt=<text>&model=<model>',
    'headers': {
    },
    'maxRedirects': 20
  };

  var req = https.request(options, function (res) {
    var chunks = [];

    res.on("data", function (chunk) {
      chunks.push(chunk);
    });

    res.on("end", function (chunk) {
      var body = Buffer.concat(chunks);
      console.log(body.toString());
    });

    res.on("error", function (error) {
      console.error(error);
    });
  });

  req.end();

  require "uri"
  require "net/http"

  url = URI("https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>")

  https = Net::HTTP.new(url.host, url.port);
  https.use_ssl = true

  request = Net::HTTP::Post.new(url)

  response = https.request(request)
  puts response.read_body

  import Foundation

  var semaphore = DispatchSemaphore (value: 0)

  var request = URLRequest(url: URL(string: "https://api.meaningcloud.com/class-1.1?key=<your_key>&txt=<text>&model=<model>")!,timeoutInterval: Double.infinity)
  request.httpMethod = "POST"

  let task = URLSession.shared.dataTask(with: request) { data, response, error in
    guard let data = data else {
      print(String(describing: error))
      return
    }
    print(String(data: data, encoding: .utf8)!)
    semaphore.signal()
  }

  task.resume()
  semaphore.wait()

If you work in PHP, you can find our SDK in Packagist. If you prefer Python, the SDK is uploaded to Pypi. You can check both of them out in our Github account.

Below you can find examples on how to make a request to the Text Classification API with the text entered by the user and how to work with the output.

These examples show the following fields of information:

categories: code, label and relevance

sdk-php-class-1.1.tgz

sdk-java-class-1.1.tgz

sdk-python-class-1.1.tgz

sdk-vb-class-1.1.tgz

Not enough? You can also check out Kikobeat's NodeJS client. And of course, if you create your own integration in any other language, we'd love to hear about it!

Text Classification 1.1 Developer Tools