Knuppe.SharpNL 1.1.3

There is a newer version of this package available.
See the version list below for details.
dotnet add package Knuppe.SharpNL --version 1.1.3                
NuGet\Install-Package Knuppe.SharpNL -Version 1.1.3                
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="Knuppe.SharpNL" Version="1.1.3" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Knuppe.SharpNL --version 1.1.3                
#r "nuget: Knuppe.SharpNL, 1.1.3"                
#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 Knuppe.SharpNL as a Cake Addin
#addin nuget:?package=Knuppe.SharpNL&version=1.1.3

// Install Knuppe.SharpNL as a Cake Tool
#tool nuget:?package=Knuppe.SharpNL&version=1.1.3                

An independent reimplementation of the Apache OpenNLP software library in C#

Product Compatible and additional computed target framework versions.
.NET Framework net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages (1)

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Wikiled.Sentiment.Analysis

Wikiled Sentiment Analysis library

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Version Downloads Last updated
1.3.0 217,760 12/12/2017
1.1.3 39,991 7/26/2015
1.1.0 1,738 7/10/2015
1.0.0 12,381 12/6/2014

Changelog:

* SharpZipLib removed from the library, now we are using the .net native support.
* Fixed several potential bugs (45+) identified by the Coverity tool.
* Removed unnecessary debug information during the training process.
* The Serialize method now exposed in the models.