diff --git a/src/Microsoft.ML.Transforms/Text/TextFeaturizingEstimator.cs b/src/Microsoft.ML.Transforms/Text/TextFeaturizingEstimator.cs
index d7cca7752a..c8d87fa3a0 100644
--- a/src/Microsoft.ML.Transforms/Text/TextFeaturizingEstimator.cs
+++ b/src/Microsoft.ML.Transforms/Text/TextFeaturizingEstimator.cs
@@ -99,8 +99,8 @@ public sealed class Options : TransformInputBase
             [Argument(ArgumentType.Multiple, HelpText = "Use stop remover or not.", ShortName = "remover", SortOrder = 4)]
             public bool UsePredefinedStopWordRemover = false;
 
-            [Argument(ArgumentType.AtMostOnce, HelpText = "Casing text using the rules of the invariant culture.", ShortName = "case", SortOrder = 5)]
-            public CaseMode TextCase = TextNormalizingEstimator.Defaults.Mode;
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Casing text using the rules of the invariant culture.", Name="TextCase", ShortName = "case", SortOrder = 5)]
+            public CaseMode CaseMode = TextNormalizingEstimator.Defaults.Mode;
 
             [Argument(ArgumentType.AtMostOnce, HelpText = "Whether to keep diacritical marks or remove them.", ShortName = "diac", SortOrder = 6)]
             public bool KeepDiacritics = TextNormalizingEstimator.Defaults.KeepDiacritics;
@@ -181,8 +181,8 @@ public WordBagEstimator.Options CharFeatureExtractor
                 }
             }
 
-            [Argument(ArgumentType.AtMostOnce, HelpText = "Normalize vectors (rows) individually by rescaling them to unit norm.", ShortName = "norm", SortOrder = 13)]
-            public NormFunction VectorNormalizer = NormFunction.L2;
+            [Argument(ArgumentType.AtMostOnce, HelpText = "Normalize vectors (rows) individually by rescaling them to unit norm.", Name = "VectorNormalizer", ShortName = "norm", SortOrder = 13)]
+            public NormFunction Norm = NormFunction.L2;
 
             public Options()
             {
@@ -193,7 +193,7 @@ public Options()
 
         internal readonly string OutputColumn;
         private readonly string[] _inputColumns;
-        internal IReadOnlyCollection<string> InputColumns => _inputColumns.AsReadOnly();
+        private IReadOnlyCollection<string> InputColumns => _inputColumns.AsReadOnly();
         internal Options OptionalSettings { get; }
 
         // These parameters are hardcoded for now.
@@ -288,13 +288,13 @@ public TransformApplierParams(TextFeaturizingEstimator parent)
             {
                 var host = parent._host;
                 host.Check(Enum.IsDefined(typeof(Language), parent.OptionalSettings.Language));
-                host.Check(Enum.IsDefined(typeof(CaseMode), parent.OptionalSettings.TextCase));
+                host.Check(Enum.IsDefined(typeof(CaseMode), parent.OptionalSettings.CaseMode));
                 WordExtractorFactory = parent._wordFeatureExtractor?.CreateComponent(host, parent._dictionary);
                 CharExtractorFactory = parent._charFeatureExtractor?.CreateComponent(host, parent._dictionary);
-                VectorNormalizer = parent.OptionalSettings.VectorNormalizer;
+                VectorNormalizer = parent.OptionalSettings.Norm;
                 Language = parent.OptionalSettings.Language;
                 UsePredefinedStopWordRemover = parent.OptionalSettings.UsePredefinedStopWordRemover;
-                TextCase = parent.OptionalSettings.TextCase;
+                TextCase = parent.OptionalSettings.CaseMode;
                 KeepDiacritics = parent.OptionalSettings.KeepDiacritics;
                 KeepPunctuations = parent.OptionalSettings.KeepPunctuations;
                 KeepNumbers = parent.OptionalSettings.KeepNumbers;
@@ -545,7 +545,7 @@ public SchemaShape GetOutputSchema(SchemaShape inputSchema)
 
             var metadata = new List<SchemaShape.Column>(2);
             metadata.Add(new SchemaShape.Column(AnnotationUtils.Kinds.SlotNames, SchemaShape.Column.VectorKind.Vector, TextDataViewType.Instance, false));
-            if (OptionalSettings.VectorNormalizer != NormFunction.None)
+            if (OptionalSettings.Norm != NormFunction.None)
                 metadata.Add(new SchemaShape.Column(AnnotationUtils.Kinds.IsNormalized, SchemaShape.Column.VectorKind.Scalar, BooleanDataViewType.Instance, false));
 
             result[OutputColumn] = new SchemaShape.Column(OutputColumn, SchemaShape.Column.VectorKind.Vector, NumberDataViewType.Single, false,
diff --git a/test/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs b/test/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs
index 622023463a..8f20941e70 100644
--- a/test/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs
+++ b/test/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs
@@ -99,7 +99,7 @@ public void TrainSentiment()
                 OutputTokens = true,
                 KeepPunctuations = false,
                 UsePredefinedStopWordRemover = true,
-                VectorNormalizer = TextFeaturizingEstimator.NormFunction.None,
+                Norm = TextFeaturizingEstimator.NormFunction.None,
                 CharFeatureExtractor = null,
                 WordFeatureExtractor = null,
             }, "SentimentText").Fit(loader).Transform(loader);
diff --git a/test/Microsoft.ML.Functional.Tests/DataTransformation.cs b/test/Microsoft.ML.Functional.Tests/DataTransformation.cs
index 50d4a38f63..21db727b8a 100644
--- a/test/Microsoft.ML.Functional.Tests/DataTransformation.cs
+++ b/test/Microsoft.ML.Functional.Tests/DataTransformation.cs
@@ -140,7 +140,7 @@ void ExtensibilityModifyTextFeaturization()
                     {
                         CharFeatureExtractor = new WordBagEstimator.Options() { NgramLength = 3, UseAllLengths = false },
                         WordFeatureExtractor = new WordBagEstimator.Options(),
-                        VectorNormalizer = TextFeaturizingEstimator.NormFunction.L1
+                        Norm = TextFeaturizingEstimator.NormFunction.L1
                     }, "SentimentText")
                 .AppendCacheCheckpoint(mlContext)
                 .Append(mlContext.BinaryClassification.Trainers.SdcaCalibrated(