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GroupDocs.Classification for .NET

GroupDocs.Classification for .NET

GroupDocs

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Empower your .NET applications with File & Text Classifier abilities using pre-defined tags or categories within IAB-2, Documents and Sentiment taxonomies.
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.NET API for Data Classification

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A .NET component that enables your applications to analyze text and files as well as classify them based on IAB-2 and Documents taxonomies.

Classification Processing Features

  • Support for IAB-2 and Documents taxonomies.
  • Select the number of results to return.
  • Select precision/recall balance for Documents taxonomy.
  • Classify documents from the stream.

Supported File Formats

Microsoft Word: DOC, DOCM, DOCX, DOT, DOTM, DOTX
OpenDocument: ODT, OTT
Text: RTF, TXT
Fixed Layout: PDF

Supported Platforms

The machine that GroupDocs.Classification for .NET runs on doesn't need to have Adobe Acrobat, Microsoft Office, or OpenOffice installed.

GroupDocs.Classification for .NET has its own document processing engine.
Microsoft Windows: Microsoft Windows Desktop (x64) (XP & up), Microsoft Windows Server (x64) (2000 & up), Windows Azure
Mac OS: Mac OS X x64 (10.12+)
Linux: Linux x64 ( 6, 7 ,27, 9, 8.7+, 18.04, 16.04, 14.04, 18, 17, 42.3+, 12 SP2+)
Memory Requirements: 3GB RAM
Development Environments: Microsoft Visual Studio (2013, 2015, 2017, 2019)
Supported Frameworks: .NET Framework 4.7 or later, .NET Core 2.0 or later

Get Started

Are you ready to give GroupDocs.Classification for .NET a try? Simply execute Install-Package GroupDocs.Classification from Package Manager Console in Visual Studio to fetch & reference GroupDocs.Classification assembly in your project. If you already have GroupDocs.Classification for .Net and want to upgrade it, please execute Update-Package GroupDocs.Classification to get the latest version.

Please check the GitHub Repository for other common usage scenarios.

Simple IAB-2 Text Classification using C# Code

var response = classifier.Classify("Medicine is an important part of our lifes");
Console.WriteLine(response.BestClassName, response.BestClassProbability);

Product Page | Docs | Demo | API Reference | Examples | Blog | Search | Free Support | Temporary License

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