Azure AI services | Language service | Azure Cognitive Search | Sentiment analysis and opinion mining

Azure AI services | Language service | Azure Cognitive Search | Sentiment analysis and opinion mining

1. Create a Language resource in Azure and copy languagekey.

using Azure;

using System;

using Azure.AI.TextAnalytics;

using System.Collections.Generic;

namespace Example

{

    class Program

    {

        // This example requires environment variables named "LANGUAGE_KEY" and "LANGUAGE_ENDPOINT"

        // Environment.GetEnvironmentVariable("LANGUAGE_KEY");

        static string languageKey = "9BuOuIbUCOGGygz";

       

        //Environment.GetEnvironmentVariable("LANGUAGE_ENDPOINT");

        static string languageEndpoint = "https://sreelanguage.cognitiveservices.azure.com/";

        private static readonly AzureKeyCredential credentials = new AzureKeyCredential(languageKey);

        private static readonly Uri endpoint = new Uri(languageEndpoint);

        // Example method for detecting opinions text.

        static void SentimentAnalysisWithOpinionMiningExample(TextAnalyticsClient client)

        {

            var documents = new List<string>

            {

                "The food and service were unacceptable. The concierge was nice, however."

            };

            AnalyzeSentimentResultCollection reviews = client.AnalyzeSentimentBatch(documents,

            options: new AnalyzeSentimentOptions()

            {

                IncludeOpinionMining = true

            });

            foreach (AnalyzeSentimentResult review in reviews)

            {

                Console.WriteLine($"Document sentiment: {review.DocumentSentiment.Sentiment}\n");

                Console.WriteLine($"\tPositive score:

                {review.DocumentSentiment.ConfidenceScores.Positive:0.00}");

                Console.WriteLine($"\tNegative score:

                {review.DocumentSentiment.ConfidenceScores.Negative:0.00}");

                Console.WriteLine($"\tNeutral score:

                {review.DocumentSentiment.ConfidenceScores.Neutral:0.00}\n");

                foreach (SentenceSentiment sentence in review.DocumentSentiment.Sentences)

                {

                    Console.WriteLine($"\tText: \"{sentence.Text}\"");

                    Console.WriteLine($"\tSentence sentiment: {sentence.Sentiment}");

                    Console.WriteLine($"\tSentence positive score:

                    {sentence.ConfidenceScores.Positive:0.00}");

                    Console.WriteLine($"\tSentence negative score:

                    {sentence.ConfidenceScores.Negative:0.00}");

                    Console.WriteLine($"\tSentence neutral score:

                    {sentence.ConfidenceScores.Neutral:0.00}\n");

                    foreach (SentenceOpinion sentenceOpinion in sentence.Opinions)

                    {

                        Console.WriteLine($"\tTarget: {sentenceOpinion.Target.Text}, Value:

                        {sentenceOpinion.Target.Sentiment}");

                        Console.WriteLine($"\tTarget positive score:

                        {sentenceOpinion.Target.ConfidenceScores.Positive:0.00}");

                        Console.WriteLine($"\tTarget negative score:

                        {sentenceOpinion.Target.ConfidenceScores.Negative:0.00}");

                        foreach (AssessmentSentiment assessment in sentenceOpinion.Assessments)

                        {

                            Console.WriteLine($"\t\tRelated Assessment: {assessment.Text}, Value:

                            {assessment.Sentiment}");

                            Console.WriteLine($"\t\tRelated Assessment positive score:

                            {assessment.ConfidenceScores.Positive:0.00}");

                            Console.WriteLine($"\t\tRelated Assessment negative score:

                            {assessment.ConfidenceScores.Negative:0.00}");

                        }

                    }

                }

                Console.WriteLine($"\n");

            }

        }

        static void Main(string[] args)

        {

            var client = new TextAnalyticsClient(endpoint, credentials);

            SentimentAnalysisWithOpinionMiningExample(client);

            Console.Write("Press any key to exit.");

            Console.ReadKey();

        }

    }

}

OutPut: