NW.NGramTextClassification 4.0.0

There is a newer version of this package available.
See the version list below for details.
dotnet add package NW.NGramTextClassification --version 4.0.0
NuGet\Install-Package NW.NGramTextClassification -Version 4.0.0
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="NW.NGramTextClassification" Version="4.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NW.NGramTextClassification --version 4.0.0
#r "nuget: NW.NGramTextClassification, 4.0.0"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install NW.NGramTextClassification as a Cake Addin
#addin nuget:?package=NW.NGramTextClassification&version=4.0.0

// Install NW.NGramTextClassification as a Cake Tool
#tool nuget:?package=NW.NGramTextClassification&version=4.0.0

NW.NGramTextClassification is a library to perform Text Classification on the string of text you provide. Text Classification is a machine learning technique that calculates the similarity between the string of text you need to categorize and a collection of already categorized strings you provide to the library.

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net8.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
4.2.0 97 2/14/2024
4.1.0 107 2/12/2024
4.0.0 91 2/6/2024
3.7.0 298 12/26/2022
3.6.0 300 11/8/2022
3.5.0 323 10/30/2022
3.0.0 377 9/28/2022
2.2.0 647 9/27/2021
2.1.0 284 9/26/2021
2.0.0 344 9/24/2021
1.1.0 323 5/1/2021
1.0.0 290 2/16/2021