How to use @azure/ai-text-analytics - 1 common examples
To help you get started, we’ve selected a few @azure/ai-text-analytics examples, based on popular ways it is used in public projects.
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Azure-Samples / cognitive-services-quickstart-code / javascript / TextAnalytics / text-analytics-v3-client-library.js View on Github 
"use strict";
const { TextAnalyticsClient, AzureKeyCredential } = require("@azure/ai-text-analytics");
const key = '';
const endpoint = ``;
const textAnalyticsClient = new TextAnalyticsClient(endpoint, new TextAnalyticsApiKeyCredential(key));
async function sentimentAnalysis(client){
const sentimentInput = [
"I had the best day of my life. I wish you were there with me."
];
const sentimentResult = await client.analyzeSentiment(sentimentInput);
sentimentResult.forEach(document => {
console.log(`ID: ${document.id}`);
console.log(`\tDocument Sentiment: ${document.sentiment}`);
console.log(`\tDocument Scores:`);
console.log(`\t\tPositive: ${document.confidenceScores.positive.toFixed(2)} \tNegative: ${document.confidenceScores.negative.toFixed(2)} \tNeutral: ${document.confidenceScores.neutral.toFixed(2)}`);
console.log(`\tSentences Sentiment(${document.sentences.length}):`);
document.sentences.forEach(sentence => {
console.log(`\t\tSentence sentiment: ${sentence.sentiment}`)@azure/ai-text-analytics
An isomorphic client library for the Azure Text Analytics service.
