Microsoft Cognitive Language Service - 2022-04-01-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
Submit analysis job for conversations
Submit a long conversation for analysis. Specify one or more unique tasks to be executed as a long-running operation.
Select the testing console in the region where you created your resource:
Open API testing consoleRequest URL
Request headers
Request body
The conversations to analyze and one or more tasks to execute on the conversations.
{
"displayName": "string",
"analysisInput": {
"conversations": [
{
"id": "string",
"language": "string",
"modality": "Transcript",
"domain": "string",
"conversationItems": [
{
"participantId": "string",
"order": 0,
"timestamp": "string",
"language": {},
"modality": {},
"utterances": [
{
"content": "string",
"type": "text"
}
]
}
]
}
]
},
"tasks": [
{
"kind": "TranscriptionPii",
"taskId": "string"
}
]
}
{
"properties": {
"displayName": {
"description": "Optional display name for the analysis job.",
"type": "string"
},
"analysisInput": {
"properties": {
"conversations": {
"type": "array",
"items": {
"required": [
"id",
"language",
"modality"
],
"properties": {
"id": {
"description": "Identifier for the conversation",
"type": "string"
},
"language": {
"description": "Default languages of the conversation item",
"type": "string"
},
"modality": {
"type": "string",
"description": "Enumeration of supported conversation genres (or modalities). Currently we will support chat and transcription",
"enum": [
"Transcript",
"Chat"
],
"x-ms-enum": {
"name": "Modality",
"modelAsString": true
}
},
"domain": {
"type": "string"
},
"conversationItems": {
"type": "array",
"items": {
"required": [
"participantId",
"utterances"
],
"properties": {
"participantId": {
"type": "string"
},
"order": {
"description": "The order of the conversation item.",
"type": "integer"
},
"timestamp": {
"description": "The timestamp of the conversation item for ordering.",
"type": "string",
"format": "date-time"
},
"language": {
"description": "Optional property to override the language of the conversation turn."
},
"modality": {
"description": "Optional property to override the modality of the conversation turn."
},
"utterances": {
"description": "The list of the utterance for the turn in various formats. Only one text for each format is allowed.",
"type": "array",
"items": {
"required": [
"content",
"type"
],
"properties": {
"content": {
"type": "string"
},
"type": {
"type": "string",
"description": "Enumeration of supported utterance types.",
"enum": [
"text",
"lexical",
"itn",
"maskedItn"
],
"x-ms-enum": {
"name": "UtteranceType",
"modelAsString": true
}
}
}
}
}
}
}
}
}
}
}
}
},
"tasks": {
"description": "The set of tasks to execute on the input conversation.",
"type": "array",
"items": {
"discriminator": "kind",
"required": [
"kind"
],
"properties": {
"kind": {
"type": "string",
"description": "Enumeration of supported Conversation Analysis LRO tasks.",
"enum": [
"TranscriptionPii",
"IssueResolutionDetection"
],
"x-ms-enum": {
"name": "AnalyzeConversationLROTaskKind",
"modelAsString": true
}
}
},
"allOf": [
{
"type": "object",
"description": "Base task object.",
"properties": {
"taskName": {
"type": "string"
}
}
}
]
}
}
},
"required": [
"analysisInput",
"tasks"
]
}
Response 202
A successful call results with an Operation-Location header used to check the status of the analysis job.
Response 500
Error response.
Code samples
@ECHO OFF
curl -v -X POST "https://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-preview"
-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}");
var uri = "https://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-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://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-preview");
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
};
$.ajax({
url: "https://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-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://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-preview";
NSArray* array = @[
// Request parameters
@"entities=true",
];
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://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-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
);
$url->setQueryVariables($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({
})
try:
conn = httplib.HTTPSConnection('uaenorth.api.cognitive.microsoft.com')
conn.request("POST", "/language/analyze-conversation/jobs?api-version=2022-04-01-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({
})
try:
conn = http.client.HTTPSConnection('uaenorth.api.cognitive.microsoft.com')
conn.request("POST", "/language/analyze-conversation/jobs?api-version=2022-04-01-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://uaenorth.api.cognitive.microsoft.com/language/analyze-conversation/jobs?api-version=2022-04-01-preview')
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