Text Analytics API (v3.0)
The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
Key Phrases
The API returns a list of strings denoting the key phrases in the input text. See the Supported languages in Text Analytics API for the list of enabled languages.
Select the testing console in the region where you created your resource:
West US West US 2 East US East US 2 West Central US South Central US West Europe North Europe Southeast Asia East Asia Australia East Brazil South Canada Central UK South Japan East Central US France Central Korea Central Japan West North Central US South Africa North UAE North Switzerland North Switzerland West Central India West US 3 Norway East Jio India WestRequest URL
Request parameters
(Optional) This value indicates which model will be used for scoring. If a model-version is not specified, the API should default to the latest, non-preview version.
(Optional) if set to true, response will contain input and document level statistics.
Request headers
Request body
Collection of documents to analyze. Documents can now contain a language field to indicate the text language
{
"documents": [
{
"language": "en",
"id": "1",
"text": "Hello world. This is some input text that I love."
},
{
"language": "fr",
"id": "2",
"text": "Bonjour tout le monde"
},
{
"language": "es",
"id": "3",
"text": "La carretera estaba atascada. Había mucho tráfico el día de ayer."
}
]
}
{
"type": "object",
"required": [
"documents"
],
"properties": {
"documents": {
"type": "array",
"description": "The set of documents to process as part of this batch.",
"items": {
"type": "object",
"required": [
"id",
"text"
],
"properties": {
"id": {
"type": "string",
"description": "A unique, non-empty document identifier."
},
"text": {
"type": "string",
"description": "The input text to process."
},
"language": {
"type": "string",
"description": "(Optional) This is the 2 letter ISO 639-1 representation of a language. For example, use \"en\" for English; \"es\" for Spanish etc. If not set, use \"en\" for English as default."
}
},
"description": "Contains an input document to be analyzed by the service."
}
}
},
"description": "Contains a set of input documents to be analyzed by the service."
}
{
"documents": [
{
"language": "en",
"id": "1",
"text": "Hello world. This is some input text that I love."
},
{
"language": "fr",
"id": "2",
"text": "Bonjour tout le monde"
},
{
"language": "es",
"id": "3",
"text": "La carretera estaba atascada. Había mucho tráfico el día de ayer."
}
]
}
{
"type": "object",
"required": [
"documents"
],
"properties": {
"documents": {
"type": "array",
"description": "The set of documents to process as part of this batch.",
"items": {
"type": "object",
"required": [
"id",
"text"
],
"properties": {
"id": {
"type": "string",
"description": "A unique, non-empty document identifier."
},
"text": {
"type": "string",
"description": "The input text to process."
},
"language": {
"type": "string",
"description": "(Optional) This is the 2 letter ISO 639-1 representation of a language. For example, use \"en\" for English; \"es\" for Spanish etc. If not set, use \"en\" for English as default."
}
},
"description": "Contains an input document to be analyzed by the service."
}
}
},
"description": "Contains a set of input documents to be analyzed by the service."
}
Response 200
A successful response results in 0 or more key phrases identified in each valid document
{
"documents": [
{
"id": "1",
"keyPhrases": [
"world",
"input text"
],
"warnings": []
},
{
"id": "2",
"keyPhrases": [
"monde"
],
"warnings": []
},
{
"id": "3",
"keyPhrases": [
"carretera",
"tráfico",
"día"
],
"warnings": []
}
],
"errors": [],
"modelVersion": "2020-04-01"
}
{
"documents": [
{
"id": "1",
"keyPhrases": [
"world",
"input text"
],
"warnings": []
},
{
"id": "2",
"keyPhrases": [
"monde"
],
"warnings": []
},
{
"id": "3",
"keyPhrases": [
"carretera",
"tráfico",
"día"
],
"warnings": []
}
],
"errors": [],
"modelVersion": "2020-04-01"
}
Response 500
Error Response
{
"error": {
"code": "InternalServerError",
"message": "Processing failed unexpectedly. Please try again later."
}
}
{
"error": {
"code": "InternalServerError",
"message": "Processing failed unexpectedly. Please try again later."
}
}
Code samples
@ECHO OFF
curl -v -X POST "https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases?model-version={string}&showStats={boolean}"
-H "Content-Type: application/json"
-H "Ocp-Apim-Subscription-Key: {subscription key}"
--data-ascii "{body}"
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;
namespace CSHttpClientSample
{
static class Program
{
static void Main()
{
MakeRequest();
Console.WriteLine("Hit ENTER to exit...");
Console.ReadLine();
}
static async void MakeRequest()
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(string.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "{subscription key}");
// Request parameters
queryString["model-version"] = "{string}";
queryString["showStats"] = "{boolean}";
var uri = "https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases?" + queryString;
HttpResponseMessage response;
// Request body
byte[] byteData = Encoding.UTF8.GetBytes("{body}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("< your content type, i.e. application/json >");
response = await client.PostAsync(uri, content);
}
}
}
}
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;
public class JavaSample
{
public static void main(String[] args)
{
HttpClient httpclient = HttpClients.createDefault();
try
{
URIBuilder builder = new URIBuilder("https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases");
builder.setParameter("model-version", "{string}");
builder.setParameter("showStats", "{boolean}");
URI uri = builder.build();
HttpPost request = new HttpPost(uri);
request.setHeader("Content-Type", "application/json");
request.setHeader("Ocp-Apim-Subscription-Key", "{subscription key}");
// Request body
StringEntity reqEntity = new StringEntity("{body}");
request.setEntity(reqEntity);
HttpResponse response = httpclient.execute(request);
HttpEntity entity = response.getEntity();
if (entity != null)
{
System.out.println(EntityUtils.toString(entity));
}
}
catch (Exception e)
{
System.out.println(e.getMessage());
}
}
}
<!DOCTYPE html>
<html>
<head>
<title>JSSample</title>
<script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>
<script type="text/javascript">
$(function() {
var params = {
// Request parameters
"model-version": "{string}",
"showStats": "{boolean}",
};
$.ajax({
url: "https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases?" + $.param(params),
beforeSend: function(xhrObj){
// Request headers
xhrObj.setRequestHeader("Content-Type","application/json");
xhrObj.setRequestHeader("Ocp-Apim-Subscription-Key","{subscription key}");
},
type: "POST",
// Request body
data: "{body}",
})
.done(function(data) {
alert("success");
})
.fail(function() {
alert("error");
});
});
</script>
</body>
</html>
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[])
{
NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
NSString* path = @"https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases";
NSArray* array = @[
// Request parameters
@"entities=true",
@"model-version={string}",
@"showStats={boolean}",
];
NSString* string = [array componentsJoinedByString:@"&"];
path = [path stringByAppendingFormat:@"?%@", string];
NSLog(@"%@", path);
NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
[_request setHTTPMethod:@"POST"];
// Request headers
[_request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[_request setValue:@"{subscription key}" forHTTPHeaderField:@"Ocp-Apim-Subscription-Key"];
// Request body
[_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLResponse *response = nil;
NSError *error = nil;
NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];
if (nil != error)
{
NSLog(@"Error: %@", error);
}
else
{
NSError* error = nil;
NSMutableDictionary* json = nil;
NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
NSLog(@"%@", dataString);
if (nil != _connectionData)
{
json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
}
if (error || !json)
{
NSLog(@"Could not parse loaded json with error:%@", error);
}
NSLog(@"%@", json);
_connectionData = nil;
}
[pool drain];
return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';
$request = new Http_Request2('https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases');
$url = $request->getUrl();
$headers = array(
// Request headers
'Content-Type' => 'application/json',
'Ocp-Apim-Subscription-Key' => '{subscription key}',
);
$request->setHeader($headers);
$parameters = array(
// Request parameters
'model-version' => '{string}',
'showStats' => '{boolean}',
);
$url->setQueryVariables($parameters);
$request->setMethod(HTTP_Request2::METHOD_POST);
// Request body
$request->setBody("{body}");
try
{
$response = $request->send();
echo $response->getBody();
}
catch (HttpException $ex)
{
echo $ex;
}
?>
########### Python 2.7 #############
import httplib, urllib, base64
headers = {
# Request headers
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': '{subscription key}',
}
params = urllib.urlencode({
# Request parameters
'model-version': '{string}',
'showStats': '{boolean}',
})
try:
conn = httplib.HTTPSConnection('francecentral.api.cognitive.microsoft.com')
conn.request("POST", "/text/analytics/v3.0/keyPhrases?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################
########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64
headers = {
# Request headers
'Content-Type': 'application/json',
'Ocp-Apim-Subscription-Key': '{subscription key}',
}
params = urllib.parse.urlencode({
# Request parameters
'model-version': '{string}',
'showStats': '{boolean}',
})
try:
conn = http.client.HTTPSConnection('francecentral.api.cognitive.microsoft.com')
conn.request("POST", "/text/analytics/v3.0/keyPhrases?%s" % params, "{body}", headers)
response = conn.getresponse()
data = response.read()
print(data)
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))
####################################
require 'net/http'
uri = URI('https://francecentral.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases')
uri.query = URI.encode_www_form({
# Request parameters
'model-version' => '{string}',
'showStats' => '{boolean}'
})
request = Net::HTTP::Post.new(uri.request_uri)
# Request headers
request['Content-Type'] = 'application/json'
# Request headers
request['Ocp-Apim-Subscription-Key'] = '{subscription key}'
# Request body
request.body = "{body}"
response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
http.request(request)
end
puts response.body