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[Language-text] Update package version (Azure#25152)
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‎sdk/cognitivelanguage/ai-language-text/CHANGELOG.md

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# Release History
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## 1.1.0-beta.3 (Unreleased)
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### Features Added
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### Breaking Changes
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### Bugs Fixed
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### Other Changes
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## 1.1.0-beta.2 (2023-03-07)
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### Features Added

‎sdk/cognitivelanguage/ai-language-text/package.json

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"sdk-type": "client",
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"author": "Microsoft Corporation",
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"description": "An isomorphic client library for the text analysis features in the Azure Cognitive Language Service.",
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"version": "1.1.0-beta.2",
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"version": "1.1.0-beta.3",
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"keywords": [
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"node",
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"azure",

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/README.md

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@@ -18,12 +18,14 @@ These sample programs show how to use the JavaScript client libraries for Azure
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| [dynamicClassification.js][dynamicclassification] | assigns either one or multiple categories per document. |
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| [entityLinking.js][entitylinking] | detects entities that have links to more information on the web |
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| [entityRecognition.js][entityrecognition] | detects entities in a piece of text |
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| [entityResolutions.js][entityresolutions] | detects entities in a piece of text |
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| [keyPhraseExtraction.js][keyphraseextraction] | extracts key phrases from a piece of text |
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| [languageDetection.js][languagedetection] | detects the language of a piece of text |
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| [piiEntityRecognition.js][piientityrecognition] | detects personally-identifiable information |
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| [sentimentAnalysis.js][sentimentanalysis] | analyzes the sentiment of a piece of text |
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| [stats.js][stats] | access statistics about documents and transactions |
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| [abstractiveSummarization.js][abstractivesummarization] | generates a summary for an article |
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| [autoLanguageDetection.js][autolanguagedetection] | return detected language with the task |
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| [customEntityRecognition.js][customentityrecognition] | detects custom text in a piece of text |
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| [customMultiLabelClassification.js][custommultilabelclassification] | multi-label classification of pieces of text |
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| [customSingleLabelClassification.js][customsinglelabelclassification] | single-label classification of pieces of text |
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[dynamicclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/dynamicClassification.js
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[entitylinking]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/entityLinking.js
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[entityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/entityRecognition.js
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[entityresolutions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/entityResolutions.js
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[keyphraseextraction]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/keyPhraseExtraction.js
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[languagedetection]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/languageDetection.js
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[piientityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/piiEntityRecognition.js
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[sentimentanalysis]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/sentimentAnalysis.js
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[stats]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/stats.js
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[abstractivesummarization]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/abstractiveSummarization.js
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[autolanguagedetection]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/autoLanguageDetection.js
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[customentityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/customEntityRecognition.js
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[custommultilabelclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/customMultiLabelClassification.js
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[customsinglelabelclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/customSingleLabelClassification.js

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/abstractiveSummarization.js

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const actions = [
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{
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kind: "AbstractiveSummarization",
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maxSentenceCount: 2,
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sentenceCount: 2,
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},
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];
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const poller = await client.beginAnalyzeBatch(actions, documents, "en");

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/autoLanguageDetection.js

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// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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/**
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* In this sample, we use the complementary automatic language detection
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* with an abstractive summarization task to receive the detected
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* language of the input document.
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*
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* The abstractive summarization feature is part of a gated preview. Access can
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* be request in {@link https://aka.ms/applyforgatedsummarizationfeatures}.
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*
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* @summary return detected language with the task
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*/
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const { TextAnalysisClient, AzureKeyCredential } = require("@azure/ai-language-text");
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// Load the .env file if it exists
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require("dotenv").config();
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// You will need to set these environment variables or edit the following values
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const endpoint = process.env["ENDPOINT"] || "<cognitive language service endpoint>";
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const apiKey = process.env["LANGUAGE_API_KEY"] || "<api key>";
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const documents = [
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"Microsoft was founded by Bill Gates and Paul Allen.",
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"Mon amie vit à Seattle",
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"Ich besuchte Deutsch während Weihnachten",
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];
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async function main() {
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console.log("== Automatic Language Detection Sample ==");
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const client = new TextAnalysisClient(endpoint, new AzureKeyCredential(apiKey));
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const actions = [
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{
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kind: "EntityRecognition",
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},
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];
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const poller = await client.beginAnalyzeBatch(actions, documents, "auto");
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poller.onProgress(() => {
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console.log(
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`Last time the operation was updated was on: ${poller.getOperationState().modifiedOn}`
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);
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});
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console.log(`The operation was created on ${poller.getOperationState().createdOn}`);
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console.log(`The operation results will expire on ${poller.getOperationState().expiresOn}`);
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const results = await poller.pollUntilDone();
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for await (const actionResult of results) {
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if (actionResult.kind !== "EntityRecognition") {
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throw new Error(`Expected entity recognition results but got: ${actionResult.kind}`);
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}
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if (actionResult.error) {
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const { code, message } = actionResult.error;
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throw new Error(`Unexpected error (${code}): ${message}`);
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}
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for (const result of actionResult.results) {
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console.log(`- Document ${result.id}`);
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if (result.error) {
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const { code, message } = result.error;
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throw new Error(`Unexpected error (${code}): ${message}`);
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}
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if (result.detectedLanguage) {
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const { name, iso6391Name, confidenceScore } = result.detectedLanguage;
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console.log(
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"Document language identified as",
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name,
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"( ISO6391:",
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iso6391Name,
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", Score:",
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confidenceScore,
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")"
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);
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}
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console.log("\tRecognized Entities:");
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for (const entity of result.entities) {
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console.log(`\t- Entity ${entity.text} of type ${entity.category}`);
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}
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}
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}
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}
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main().catch((err) => {
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console.error("The sample encountered an error:", err);
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});
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module.exports = { main };

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/entityResolutions.js

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// Copyright (c) Microsoft Corporation.
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// Licensed under the MIT License.
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/**
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* Uses the entity recognition endpoint to detect entities in a document using
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* Named Entity Recognition (NER) and prints them along with their recognized
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* entity type and resolution.
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*
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* @summary detects entities in a piece of text
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*/
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const { TextAnalysisClient, AzureKeyCredential } = require("@azure/ai-language-text");
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// Load the .env file if it exists
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require("dotenv").config();
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// You will need to set these environment variables or edit the following values
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const endpoint = process.env["ENDPOINT"] || "<cognitive language service endpoint>";
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const apiKey = process.env["LANGUAGE_API_KEY"] || "<api key>";
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const documents = [
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"Microsoft was founded by Bill Gates and Paul Allen.",
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"I had a wonderful trip to Seattle last week.",
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"I visited the Space Needle 2 times.",
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];
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async function main() {
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console.log("== Recognize Entities Sample ==");
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const client = new TextAnalysisClient(endpoint, new AzureKeyCredential(apiKey));
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const actions = [
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{
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kind: "EntityRecognition",
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modelVersion: "2022-10-01-preview",
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},
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];
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const poller = await client.beginAnalyzeBatch(actions, documents, "en");
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const results = await poller.pollUntilDone();
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for await (const actionResult of results) {
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if (actionResult.kind !== "EntityRecognition") {
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throw new Error(`Expected abstractive summarization results but got: ${actionResult.kind}`);
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}
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if (actionResult.error) {
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const { code, message } = actionResult.error;
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throw new Error(`Unexpected error (${code}): ${message}`);
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}
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for (const result of actionResult.results) {
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console.log(`- Document ${result.id}`);
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if (result.error) {
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const { code, message } = result.error;
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throw new Error(`Unexpected error (${code}): ${message}`);
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}
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console.log("\tRecognized Entities:");
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for (const entity of result.entities) {
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console.log(`\t- Entity ${entity.text} of type ${entity.category}`);
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if (entity.resolutions) {
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console.log("\tRecognized Resolution:");
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for (const resolution of entity.resolutions) {
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const { resolutionKind, ...resolutionInfo } = resolution;
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console.log(`\t- Resolution of type ${resolutionKind}`);
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console.log(`\t- Resolution information ${JSON.stringify(resolutionInfo)}`);
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}
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}
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}
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}
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}
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}
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main().catch((err) => {
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console.error("The sample encountered an error:", err);
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});
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module.exports = { main };

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/healthcare.js

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console.log(`\t\t\t- "${role.entity.text}" with the role ${role.name}`);
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}
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}
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if (result.fhirBundle) {
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console.log(`FHIR object: ${JSON.stringify(result.fhirBundle, undefined, 2)}`);
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}
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}
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if (result.fhirBundle) {
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console.log(`FHIR object: ${JSON.stringify(result.fhirBundle, undefined, 2)}`);
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}
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}
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}

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/javascript/languageDetection.js

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* endpoint provides a primary language as well as a score representing the
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* service's confidence in the correctness of its assessment.
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*
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* Script detection feature can be enabled with the "2022-04-10-preview" model version.
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*
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* @summary detects the language of a piece of text
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*/
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const client = new TextAnalysisClient(endpoint, new AzureKeyCredential(apiKey));
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const result = await client.analyze("LanguageDetection", documents, "us");
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const result = await client.analyze("LanguageDetection", documents, "us", {
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modelVersion: "2022-04-10-preview",
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});
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for (const doc of result) {
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if (!doc.error) {
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console.log(
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`Primary language: ${doc.primaryLanguage.name} (iso6391 name: ${doc.primaryLanguage.iso6391Name})`
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);
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if (doc.primaryLanguage.script) {
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console.log(`Detected script: ${doc.primaryLanguage.script}`);
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}
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}
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}
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}

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/README.md

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| [dynamicClassification.ts][dynamicclassification] | assigns either one or multiple categories per document. |
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| [entityLinking.ts][entitylinking] | detects entities that have links to more information on the web |
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| [entityRecognition.ts][entityrecognition] | detects entities in a piece of text |
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| [entityResolutions.ts][entityresolutions] | detects entities in a piece of text |
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| [keyPhraseExtraction.ts][keyphraseextraction] | extracts key phrases from a piece of text |
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| [languageDetection.ts][languagedetection] | detects the language of a piece of text |
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| [piiEntityRecognition.ts][piientityrecognition] | detects personally-identifiable information |
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| [sentimentAnalysis.ts][sentimentanalysis] | analyzes the sentiment of a piece of text |
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| [stats.ts][stats] | access statistics about documents and transactions |
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| [abstractiveSummarization.ts][abstractivesummarization] | generates a summary for an article |
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| [autoLanguageDetection.ts][autolanguagedetection] | return detected language with the task |
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| [customEntityRecognition.ts][customentityrecognition] | detects custom text in a piece of text |
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| [customMultiLabelClassification.ts][custommultilabelclassification] | multi-label classification of pieces of text |
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| [customSingleLabelClassification.ts][customsinglelabelclassification] | single-label classification of pieces of text |
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[dynamicclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/dynamicClassification.ts
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[entitylinking]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/entityLinking.ts
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[entityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/entityRecognition.ts
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[entityresolutions]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/entityResolutions.ts
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[keyphraseextraction]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/keyPhraseExtraction.ts
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[languagedetection]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/languageDetection.ts
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[piientityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/piiEntityRecognition.ts
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[sentimentanalysis]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/sentimentAnalysis.ts
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[stats]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/stats.ts
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[abstractivesummarization]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/abstractiveSummarization.ts
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[autolanguagedetection]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/autoLanguageDetection.ts
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[customentityrecognition]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/customEntityRecognition.ts
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[custommultilabelclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/customMultiLabelClassification.ts
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[customsinglelabelclassification]: https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/customSingleLabelClassification.ts

‎sdk/cognitivelanguage/ai-language-text/samples/v1-beta/typescript/src/abstractiveSummarization.ts

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const actions: AnalyzeBatchAction[] = [
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{
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kind: "AbstractiveSummarization",
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maxSentenceCount: 2,
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sentenceCount: 2,
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},
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];
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const poller = await client.beginAnalyzeBatch(actions, documents, "en");

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