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May 13, 2019
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Update method signature #12327

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8 changes: 4 additions & 4 deletions docs/machine-learning/tutorials/sentiment-analysis.md
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---
title: 'Tutorial: Analyze website comments - binary classification'
description: This tutorial shows you how to create a .NET Core console application that classifies sentiment from website comments and takes the appropriate action. The binary sentiment classifier uses C# in Visual Studio 2017.
ms.date: 04/18/2019
description: This tutorial shows you how to create a .NET Core console application that classifies sentiment from website comments and takes the appropriate action. The binary sentiment classifier uses C# in Visual Studio.
ms.date: 05/13/2019
ms.topic: tutorial
ms.custom: mvc, seodec18
#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.
Expand All @@ -24,7 +24,7 @@ You can find the source code for this tutorial at the [dotnet/samples](https://g

## Prerequisites

* [Visual Studio 2017 15.6 or later](https://visualstudio.microsoft.com/downloads/?utm_medium=microsoft&utm_source=docs.microsoft.com&utm_campaign=inline+link&utm_content=download+vs2017) with the ".NET Core cross-platform development" workload installed
* [Visual Studio 2017 15.6 or later](https://visualstudio.microsoft.com/downloads/?utm_medium=microsoft&utm_source=docs.microsoft.com&utm_campaign=inline+link&utm_content=download+vs2019) with the ".NET Core cross-platform development" workload installed

* [UCI Sentiment Labeled Sentences dataset](https://archive.ics.uci.edu/ml/machine-learning-databases/00331/sentiment%20labelled%20sentences.zip) (ZIP file)

Expand Down Expand Up @@ -298,7 +298,7 @@ Use the following code to display the metrics:
1. Create the `UseModelWithBatchItems()` method, just after the `UseModelWithSingleItem()` method, using the following code:

```csharp
public static void UseModelWithBatchItems(MLContext mlContext)
public static void UseModelWithBatchItems(MLContext mlContext, ITransformer model)
{

}
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