Uncover Emotions in Every Interaction with AI-Powered Sentiment Analysis

The Sentiment Analysis API deciphers context and emotion from text data, assessing sentiment intensity with precision. Powered by advanced natural language processing and machine learning, it detects sentiment patterns across multiple languages and content types, delivering actionable insights for business intelligence, customer experience optimization, and market analysis.

    Cutting-Edge Features    

Why Arya Sentiment Analysis API?

Detailed Sentiment Classification

Identifies a full spectrum of emotions, from very negative to very positive

Global Language Coverage

Accurately analyzes sentiment across multiple languages with native-level understanding

Emotion Intensity Scoring

Assigns numerical sentiment scores for deeper, data-driven insights

Multi-Format Content Processing

Analyzes various text, including social media posts, customer reviews, chat logs, and more

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always wanted
With more than 80+ APIs, we stand out as the go-to-platform for developers, consistently delivering unparalleled success rates in driving critical decisions.
200 M+

Annual API Volume

95 %+

Accuracy Rate

720 K

Daily API Volume

< 5 Mins

Time to launch

    Effortless AI For Everyone    

More Reasons To Love Arya AI

Hassle-Free,

No Code Platform

Easy to adopt

& integrate

99.99%

API Success Rate

Reliable &

Secure

    Helpful Resources    

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Samples

Check out the API results using samples provided below

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JSON
 
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Documentation

HTTP Method: Post
Endpoint
{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}
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API Token
{{tokenDisplay}}
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API Token UAT
postman wrapper button
{{tokenUDisplay}}
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Usage and Code Samples

curl --location --request POST '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}' \
--header 'token: < your private token >' \
--header 'content-type: application/json' \
--data-raw '{
		"doc_str": '< string >',
		"req_id": '< req id string >'
	     }'
OkHttpClient client = new OkHttpClient().newBuilder().build();
MediaType mediaType = MediaType.parse("application/javascript");
RequestBody body = RequestBody.create(mediaType, "{ "doc_str": '< string >', "req_id": '< req id string >'  }");
Request request = new Request.Builder()
	.url("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
	.method("POST", body)
	.addHeader("token", "< your private token >")
	.addHeader("content-type", "application/json")
	.build();
Response response = client.newCall(request).execute();
require "uri"
require "net/http"
url = URI("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Post.new(url)
request["token"] = "< your private token >"
request["content-type"] = "application/json"
request.body = "{"doc_str": '< string >', "req_id": '< req id string >'  }"
response = https.request(request)
puts response.read_body
CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
  curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
  curl_easy_setopt(curl, CURLOPT_URL, "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
  curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
  curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
  struct curl_slist *headers = NULL;
  headers = curl_slist_append(headers, "token: < your private token >");
  headers = curl_slist_append(headers, "content-type: application/json");
  curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
  const char *data = "{"doc_str": '< string >', "req_id": '< req id string >'  }";
  curl_easy_setopt(curl, CURLOPT_POSTFIELDS, data);
  res = curl_easy_perform(curl);
}
curl_easy_cleanup(curl);
var request = require('request');
var options = {
  'method': 'POST',
  'url': '{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}',
  'headers': {
  'token': '< your private token >',
  'content-type':'application/json'
},
body: '{"doc_str": '< string >', "req_id": '< req id string >'  }'
};
request(options, function (error, response) {
if (error) throw new Error(error);
  console.log(response.body);
});
var client = new RestClient("{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}");
į¹£client.Timeout = -1;
var request = new RestRequest(Method.POST);
request.AddHeader("token", "< your private token >");
request.AddHeader("content-type", "application/json");
var body = @"{" + "" +
@"    "doc_str": < string >" + "" +
@"    "req_id": < req id string >" + "" +
@"  }";
request.AddParameter("application/json", body,  ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);
php
require_once 'HTTP/Request2.php';
$request = new HTTP_Request2();
$request->setUrl('{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}');
$request->setMethod(HTTP_Request2::METHOD_POST);
$request->setConfig(array(
'follow_redirects' => TRUE
));
$request->setHeader(array(
  'token' => '< your private token >',
  'content-type' => 'application/json'
));
$request->setBody('{"doc_str": '< string >', "req_id": < req id string >  }');
try {
  $response = $request->send();
  if ($response->getStatus() == 200) {
  echo $response->getBody();
  }
  else {
  echo 'Unexpected HTTP status: ' . $response->getStatus() . ' ' .
  $response->getReasonPhrase();
  }
}
catch(HTTP_Request2_Exception $e) {
  echo 'Error: ' . $e->getMessage();
}
?>
import requests
url = "{{getEndpoint(url, api_version, pageDetails.ping_endpoint)}}"
payload = {"doc_str": '< string >', "req_id": < req id string >  }
headers = {
  'token': '< your private token >',
  'content-type':'application/json'
}
response = requests.request("POST", url, json=payload, headers=headers)
print(response.text)

Request Parameters

Header parameters
Name Description
token String
Body parameters
Name Description
body {
  "req_id" : < string >,
  "doc_str": < string >
}

Response Parameters

Status: 200 - API Request Successful
Body parameters
Name Description
body {
  "req_id" : < string >,
  "success" : < boolean >,
  "data": < dictionary>,
  "error_message" : < string >,
}

Field Details

Request Field Details
Fields Values/Description
req_id Unique request ID used for processing requests
doc_str Query text
Response Field Details
Fields Values/Description
req_id Corresponding request id
success Success flag
error_message Error message if fail
data Dictionary of extracted data