@@ -116,15 +116,15 @@ static void sentimentAnalysisExample(TextAnalyticsClient client)
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DocumentSentiment documentSentiment = client. analyzeSentiment(text);
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System . out. printf(
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- " Recognized TextSentiment : %s, Positive Score: %.2f, Neutral Score: %.2f, Negative Score: %.2f.%n" ,
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+ " Recognized document sentiment : %s, Positive Score: %.2f, Neutral Score: %.2f, Negative Score: %.2f.%n" ,
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documentSentiment. getSentiment(),
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documentSentiment. getSentimentScores(). getPositive(),
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documentSentiment. getSentimentScores(). getNeutral(),
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documentSentiment. getSentimentScores(). getNegative());
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for (SentenceSentiment sentenceSentiment : documentSentiment. getSentences()) {
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System . out. printf(
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- " Recognized sentence sentiment: %s, positive score: %s , neutral score: %s , negative score: %.2f.%n" ,
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+ " Recognized sentence sentiment: %s, positive score: %.2f , neutral score: %.2f , negative score: %.2f.%n" ,
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sentenceSentiment. getSentiment(),
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sentenceSentiment. getSentimentScores(). getPositive(),
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sentenceSentiment. getSentimentScores(). getNeutral(),
@@ -136,8 +136,8 @@ static void sentimentAnalysisExample(TextAnalyticsClient client)
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### Output
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``` console
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- Recognized TextSentiment : positive, Positive Score: 1.00, Neutral Score: 0.00, Negative Score: 0.00.
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- Recognized sentence sentiment: positive, positive score: 1.0 , neutral score: 0.0 , negative score: 0.0 .
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+ Recognized document sentiment : positive, Positive Score: 1.00, Neutral Score: 0.00, Negative Score: 0.00.
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+ Recognized sentence sentiment: positive, positive score: 1.00 , neutral score: 0.00 , negative score: 0.00 .
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Recognized sentence sentiment: neutral, positive score: 0.21, neutral score: 0.77, negative score: 0.02.
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```
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## Language detection
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