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:
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