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fixed broken link (#5982)
* fixed broken link * typo + another broken link
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docs/machine-learning/tutorials/sentiment-analysis.md

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@@ -4,7 +4,7 @@ description: Discover how to use ML.NET in a binary classification scenario to u
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ms.date: 06/04/2018
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ms.topic: tutorial
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ms.custom: mvc
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#Customer intent: As a developer, I want to use ML.NET to apply a binary classification task so that I can understand how to use sentiment prediction to take appropriaste action.
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#Customer intent: As a developer, I want to use ML.NET to apply a binary classification task so that I can understand how to use sentiment prediction to take appropriate action.
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# Tutorial: Use ML.NET in a sentiment analysis binary classification scenario
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[!code-csharp[LearningPipeline](../../../samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#5 "Create a learning pipeline")]
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The <xref:Microsoft.ML.TextLoader%601> object is the first part of the pipeline, and loads the training file data.
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The <xref:Microsoft.ML.Data.TextLoader> object is the first part of the pipeline, and loads the training file data.
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[!code-csharp[TextLoader](../../../samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#6 "Add a text loader to the pipeline")]
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[!code-csharp[CallEvaluate](../../../samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#12 "Call the Evaluate method")]
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The <xref:Microsoft.ML.TextLoader%601> class loads the new test dataset with the same schema. You can evaluate the model using this dataset as a quality check. Add the following code to the `Evaluate` method:
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The <xref:Microsoft.ML.Data.TextLoader> class loads the new test dataset with the same schema. You can evaluate the model using this dataset as a quality check. Add the following code to the `Evaluate` method:
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[!code-csharp[LoadText](../../../samples/machine-learning/tutorials/SentimentAnalysis/Program.cs#13 "Load the test dataset")]
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