Separate document and sentence sentiment label

sdk/textanalytics/Azure.AI.TextAnalytics/src/DocumentSentiment.cs

@@ -16,7 +16,7 @@ namespace Azure.AI.TextAnalytics
     /// </summary>
     public class DocumentSentiment
     {
-        internal DocumentSentiment(SentimentLabel sentiment, double positiveScore, double neutralScore, double negativeScore, List<SentenceSentiment> sentenceSentiments)
+        internal DocumentSentiment(DocumentSentimentLabel sentiment, double positiveScore, double neutralScore, double negativeScore, List<SentenceSentiment> sentenceSentiments)
         {
             Sentiment = sentiment;
             ConfidenceScores = new SentimentConfidenceScorePerLabel(positiveScore, neutralScore, negativeScore);
@@ -27,7 +27,7 @@ internal DocumentSentiment(SentimentLabel sentiment, double positiveScore, doubl
         /// Gets the predicted sentiment for the analyzed input document
         /// or substring.
         /// </summary>
-        public SentimentLabel Sentiment { get; }
+        public DocumentSentimentLabel Sentiment { get; }
 
         /// <summary>
         /// Gets the sentiment confidence score (Softmax score) between 0 and 1,

sdk/textanalytics/Azure.AI.TextAnalytics/src/SentimentLabel.cs → sdk/textanalytics/Azure.AI.TextAnalytics/src/DocumentSentimentLabel.cs

@@ -4,18 +4,17 @@
 namespace Azure.AI.TextAnalytics
 {
     /// <summary>
-    /// The predicted sentiment label for a given span of text.
+    /// The predicted sentiment label for a given document.
     /// </summary>
-    public enum SentimentLabel
-    #pragma warning restore
+    public enum DocumentSentimentLabel
     {
         /// <summary>
         /// Indicates that the sentiment is positive.
         /// </summary>
         Positive,
 
         /// <summary>
-        /// Indicates that the lacks a sentiment.
+        /// Indicates that the sentiment is neutral.
         /// </summary>
         Neutral,
 

sdk/textanalytics/Azure.AI.TextAnalytics/src/SentenceSentiment.cs

@@ -10,7 +10,7 @@ namespace Azure.AI.TextAnalytics
     /// </summary>
     public readonly struct SentenceSentiment
     {
-        internal SentenceSentiment(SentimentLabel sentiment, double positiveScore, double neutralScore, double negativeScore, int offset, int length)
+        internal SentenceSentiment(SentenceSentimentLabel sentiment, double positiveScore, double neutralScore, double negativeScore, int offset, int length)
         {
             Sentiment = sentiment;
             ConfidenceScores = new SentimentConfidenceScorePerLabel(positiveScore, neutralScore, negativeScore);
@@ -22,7 +22,7 @@ internal SentenceSentiment(SentimentLabel sentiment, double positiveScore, doubl
         /// Gets the predicted sentiment for the analyzed input document
         /// or substring.
         /// </summary>
-        public SentimentLabel Sentiment { get; }
+        public SentenceSentimentLabel Sentiment { get; }
 
         /// <summary>
         /// Gets the sentiment confidence score (Softmax score) between 0 and 1,

sdk/textanalytics/Azure.AI.TextAnalytics/src/SentenceSentimentLabel.cs

@@ -0,0 +1,26 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+namespace Azure.AI.TextAnalytics
+{
+    /// <summary>
+    /// The predicted sentiment label for a given sentence.
+    /// </summary>
+    public enum SentenceSentimentLabel
+    {
+        /// <summary>
+        /// Indicates that the sentiment is positive.
+        /// </summary>
+        Positive,
+
+        /// <summary>
+        /// Indicates that the sentiment is neutral.
+        /// </summary>
+        Neutral,
+
+        /// <summary>
+        /// Indicates that the sentiment is negative.
+        /// </summary>
+        Negative,
+    }
+}

sdk/textanalytics/Azure.AI.TextAnalytics/src/TextAnalyticsServiceSerializer.cs

@@ -404,14 +404,14 @@ private static AnalyzeSentimentResult ReadDocumentSentimentResult(JsonElement do
 
         private static DocumentSentiment ReadDocumentSentiment(JsonElement documentElement, string scoresElementName)
         {
-            SentimentLabel sentiment = default;
+            DocumentSentimentLabel sentiment = default;
             double positiveScore = default;
             double neutralScore = default;
             double negativeScore = default;
 
             if (documentElement.TryGetProperty("sentiment", out JsonElement sentimentValue))
             {
-                sentiment = (SentimentLabel)Enum.Parse(typeof(SentimentLabel), sentimentValue.ToString(), ignoreCase: true);
+                sentiment = (DocumentSentimentLabel)Enum.Parse(typeof(DocumentSentimentLabel), sentimentValue.ToString(), ignoreCase: true);
             }
 
             if (documentElement.TryGetProperty(scoresElementName, out JsonElement scoreValues))
@@ -440,7 +440,7 @@ private static DocumentSentiment ReadDocumentSentiment(JsonElement documentEleme
 
         private static SentenceSentiment ReadSentenceSentiment(JsonElement documentElement, string scoresElementName)
         {
-            SentimentLabel sentiment = default;
+            SentenceSentimentLabel sentiment = default;
             double positiveScore = default;
             double neutralScore = default;
             double negativeScore = default;
@@ -449,7 +449,7 @@ private static SentenceSentiment ReadSentenceSentiment(JsonElement documentEleme
 
             if (documentElement.TryGetProperty("sentiment", out JsonElement sentimentValue))
             {
-                sentiment = (SentimentLabel)Enum.Parse(typeof(SentimentLabel), sentimentValue.ToString(), ignoreCase: true);
+                sentiment = (SentenceSentimentLabel)Enum.Parse(typeof(SentenceSentimentLabel), sentimentValue.ToString(), ignoreCase: true);
             }
 
             if (documentElement.TryGetProperty(scoresElementName, out JsonElement scoreValues))