Microsoft Cognitive Language Service - 2022-03-01-preview
The language service API is a suite of natural language processing (NLP) skills 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, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0
Request text analysis over a collection of documents.
Submit a collection of text documents for analysis. Specify a single unique task to be executed immediately.
Select the testing console in the region where you created your resource:
Open API testing consoleRequest URL
Request parameters
(Optional) if set to true, response will contain request and document level statistics.
Request headers
Request body
Collection of documents to analyze and a single task to execute.
{
"kind": "SentimentAnalysis",
"parameters": {
"modelVersion": "latest"
},
"analysisInput": {
"documents": [
{
"id": "1",
"language": "en",
"text": "Great atmosphere. Close to plenty of restaurants, hotels, and transit! Staff are friendly and helpful."
}
]
}
}
{
"discriminator": "kind",
"required": [
"kind"
],
"properties": {
"kind": {
"type": "string",
"description": "Enumeration of supported Text Analysis tasks.",
"enum": [
"SentimentAnalysis",
"EntityRecognition",
"PiiEntityRecognition",
"KeyPhraseExtraction",
"LanguageDetection",
"EntityLinking"
],
"x-ms-enum": {
"name": "AnalyzeTextTaskKind",
"modelAsString": true
}
}
}
}
Response 200
Result of a single text analysis task.
{
"kind": "SentimentAnalysisResults",
"results": {
"documents": [
{
"confidenceScores": {
"negative": 0,
"neutral": 0,
"positive": 1
},
"id": "1",
"sentences": [
{
"targets": [
{
"confidenceScores": {
"negative": 0,
"positive": 1
},
"length": 10,
"offset": 6,
"relations": [
{
"ref": "#/documents/0/sentences/0/assessments/0",
"relationType": "assessment"
}
],
"sentiment": "positive",
"text": "atmosphere"
}
],
"confidenceScores": {
"negative": 0,
"neutral": 0,
"positive": 1
},
"length": 17,
"offset": 0,
"assessments": [
{
"confidenceScores": {
"negative": 0,
"positive": 1
},
"isNegated": false,
"length": 5,
"offset": 0,
"sentiment": "positive",
"text": "great"
}
],
"sentiment": "positive",
"text": "Great atmosphere."
},
{
"targets": [
{
"confidenceScores": {
"negative": 0.01,
"positive": 0.99
},
"length": 11,
"offset": 37,
"relations": [
{
"ref": "#/documents/0/sentences/1/assessments/0",
"relationType": "assessment"
}
],
"sentiment": "positive",
"text": "restaurants"
},
{
"confidenceScores": {
"negative": 0.01,
"positive": 0.99
},
"length": 6,
"offset": 50,
"relations": [
{
"ref": "#/documents/0/sentences/1/assessments/0",
"relationType": "assessment"
}
],
"sentiment": "positive",
"text": "hotels"
}
],
"confidenceScores": {
"negative": 0.01,
"neutral": 0.86,
"positive": 0.13
},
"length": 52,
"offset": 18,
"assessments": [
{
"confidenceScores": {
"negative": 0.01,
"positive": 0.99
},
"isNegated": false,
"length": 15,
"offset": 18,
"sentiment": "positive",
"text": "Close to plenty"
}
],
"sentiment": "neutral",
"text": "Close to plenty of restaurants, hotels, and transit!"
}
],
"sentiment": "positive",
"warnings": []
}
],
"errors": [],
"modelVersion": "2020-04-01"
}
}
{
"discriminator": "kind",
"required": [
"kind"
],
"properties": {
"kind": {
"type": "string",
"description": "Enumeration of supported Text Analysis task results.",
"enum": [
"SentimentAnalysisResults",
"EntityRecognitionResults",
"PiiEntityRecognitionResults",
"KeyPhraseExtractionResults",
"LanguageDetectionResults",
"EntityLinkingResults"
],
"x-ms-enum": {
"name": "AnalyzeTextTaskResultsKind",
"modelAsString": true
}
}
}
}
Response 500
Unexpected error
Code samples
@ECHO OFF
curl -v -X POST "https://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview?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["showStats"] = "{boolean}";
var uri = "https://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview&" + 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://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview");
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
"showStats": "{boolean}",
};
$.ajax({
url: "https://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview&" + $.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://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview";
NSArray* array = @[
// Request parameters
@"entities=true",
@"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://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview');
$url = $request->getUrl();
$headers = array(
// Request headers
'Content-Type' => 'application/json',
'Ocp-Apim-Subscription-Key' => '{subscription key}',
);
$request->setHeader($headers);
$parameters = array(
// Request parameters
'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
'showStats': '{boolean}',
})
try:
conn = httplib.HTTPSConnection('*.cognitiveservices.azure.com')
conn.request("POST", "/language/:analyze-text?api-version=2022-03-01-preview&%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
'showStats': '{boolean}',
})
try:
conn = http.client.HTTPSConnection('*.cognitiveservices.azure.com')
conn.request("POST", "/language/:analyze-text?api-version=2022-03-01-preview&%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://*.cognitiveservices.azure.com/language/:analyze-text?api-version=2022-03-01-preview')
uri.query = URI.encode_www_form({
# Request parameters
'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