extended SentmentPrediction for easier display (#11955)

Author: JRAlexander

docs/machine-learning/tutorials/sentiment-analysis.md

@@ -93,7 +93,7 @@ The input dataset class, `SentimentData`, has a `string` for the comment (`Senti
 |Wow... Loved this place.              |    1     |
 |Service was very prompt.              |    1     |
 
-`SentimentPrediction` is the prediction class used after the model training. It has a single boolean (`Sentiment`) and a `PredictedLabel` `ColumnName` attribute. The `Label` is used to create and train the model, and it's also used with the split out test dataset to evaluate the model. The `PredictedLabel` is used during prediction and evaluation. For evaluation, training data, the predicted values, and the model are used.
+`SentimentPrediction` is the prediction class used after the model training. It inherits from `SentimentData` for displaying the `SentimentText` with the predictions. `SentimentPrediction` has a single boolean (`Sentiment`) and a `PredictedLabel` `ColumnName` attribute. The `Label` is used to create and train the model, and it's also used with the split out test dataset to evaluate the model. The `PredictedLabel` is used during prediction and evaluation. For evaluation, training data, the predicted values, and the model are used.
 
 The [MLContext class](xref:Microsoft.ML.MLContext) is a starting point for all ML.NET operations, and initializing `mlContext` creates a new ML.NET environment that can be shared across the model creation workflow objects. It's similar, conceptually, to `DBContext` in Entity Framework.
 
@@ -343,11 +343,7 @@ Create a header for the predictions using the following code:
 
 [!code-csharp[OutputHeaders](~/samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#AddInfoMessage "Display prediction outputs")]
 
-Before displaying the predicted results, combine the original comment with its predicted sentiment using the [Zip()](xref:System.Linq.Enumerable.Zip%2A) method:
-
-[!code-csharp[BuildTuples](~/samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#BuildSentimentPredictionPairs "Build the pairs of sentiment data and predictions")]
-
-Now that `SentimentText` and `Sentiment` are combined in a class, display the results:
+Because `SentimentPrediction` inherited from `SentimentData`, the `Transform()` method populated `SentimentText` with the predicted fields. As the ML.NET process processes, each component adds columns, and this makes it easy to display the results:
 
 [!code-csharp[DisplayPredictions](~/samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#DisplayResults "Display the predictions")]