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Download C# Library for Data Classification via .NET API

GroupDocs.Classification for .NET API is used for texts and documents classification with several taxonomies (e.g. IAB-2). Documents could be in various formats,including Microsoft Word, OpenOffice Document formats, PDF documents, RTF and TXT. You can pass a document or text, set a taxonomy and classify it. Classification results can be easily customized with multiple and flexible options.

Release Notes Download

Get Started

Open NuGet package manager, search for GroupDocs.Classification and install. You may also use the following command from the Package Manager Console.

Install

To install please execute Install-Package GroupDocs.Classification from Package Manager Console in Visual Studio to fetch & reference GroupDocs.Classification assembly in your project.

PM>

     Install-Package GroupDocs.Classification

Update

If you already have GroupDocs.Classification for .Net and want to upgrade it, please execute Update-Package GroupDocs.Classification to get the latest version.

PM>

     Update-Package GroupDocs.Classification

Document & Text Classification .NET API

GroupDocs.Classification for .NET is a powerful, intuitive API designed for developers seeking advanced text and document classification capabilities within their .NET applications. With support for multiple taxonomies, including IAB-2, Sentiment, and Document Taxonomy, this API enables precise content categorization, sentiment analysis, and structured document classification. It’s ideal for use cases like content management, targeted advertising, and customer feedback analysis. GroupDocs.Classification for .NET is cross-platform compatible, supporting Windows, macOS, and Linux, and seamlessly integrates into .NET projects without requiring third-party software like Microsoft Office or Adobe Acrobat®.

Raw Text Classification

Advanced Taxonomy Classification
Classify raw text with IAB-2, Documents, Sentiment, and Sentiment3.

Structure-Free Classification
Classify text without relying on document structure.

Document Classification

Multi-Format Document Classification
Classify DOC, PDF, OpenOffice, RTF, and TXT.

Flexible Document Format Support
Supports classification of multiple document formats.

Flexible Taxonomies

IAB-2 Taxonomy for News
Use IAB-2 for news and site classification.

Document Classes Taxonomy
Classify documents like invoices, CVs, forms, and emails.

Multi-Language Sentiment Taxonomy
Sentiment analysis in English, Chinese, Spanish, and German.

Multi-Language Support

Multi-Language Sentiment Analysis
Perform sentiment analysis in multiple languages.

Sentiment3 Multi-Language Classification
Supports multi-language sentiment classification.

Taxonomy Configuration

Custom Classification Parameters
Configure precision/recall balance and bestClassesCount.

Tailored Classification Process
Customize classification settings to meet specific needs.

Thread-Safe Operation

Concurrent Document Classification
Safely classify documents concurrently.

Multithreaded Processing Support
Enable efficient processing across multiple threads.

Cross-Platform Compatibility

Cross-Platform Support
Works on Windows, macOS, and Linux.

No Extra Software Needed
No Office or Acrobat required for classification.

Comprehensive SDK and Examples

.NET SDK with Demos
Fully-featured SDK with examples in C#.

Developer Integration Support
Examples to help developers integrate quickly.

High Accuracy Classification

Accurate Classification Algorithms
Uses advanced machine learning for accuracy.

Real-Time Classification
Supports instant classification for timely results.

Integration and Usability

.NET Language Integration
Easy to integrate with C#, VB.NET, J#.

User-Friendly API
Quick and effective implementation in applications.

IAB-2 Taxonomy Support

IAB-2 Digital Content Classification
Categorize content using IAB-2 standards.

Sentiment Analysis

Positive/Negative Sentiment Analysis
Classify text as positive, negative, or neutral.

Granular Sentiment3 Taxonomy
Supports detailed sentiment classification.

Documents Taxonomy

Predefined Document Categories
Classify documents like advertisements and emails.

Fallback “Other” Category
Handle unclassified or uncertain documents.

Custom Classification

Define Custom Categories
Create custom classification categories for specific needs.

Flexible Configuration
Supports tailored classification for business use.

Supported Document Formats

Format	Description
PDF	Adobe® Portable Document Format
DOC	Microsoft Word® 97-2003 Document
DOCM	Microsoft Word® Macro-Enabled Document
DOCX	Microsoft Word® Document
DOT	Microsoft Word® 97-2003 Template
DOTM	Microsoft Word® Macro-Enabled Template
DOTX	Microsoft Word® Template
ODT	OpenDocument Text
OTT	Open Document Text Template
RTF	Rich Text Document
TXT	Plain Text Document

Supported GroupDocs.Classification Taxonomies

IAB-2 Taxonomy

IAB-2 taxonomy categories are commonly used for content classification, especially in advertising and digital marketing. For more details, visit the IAB website.

Automotive
Books and Literature
Business and Finance
Careers
Education
Events and Attractions
Family and Relationships
Fine Art
Food & Drink
Healthy Living
Hobbies & Interests
Home & Garden
Medical Health
Movies
Music and Audio
News and Politics
Personal Finance
Pets
Pop Culture
Real Estate
Religion & Spirituality
Science
Shopping
Sports
Style & Fashion
Technology & Computing
Television
Travel
Video Gaming

Documents Taxonomy

The Documents taxonomy is designed to classify various types of documents:

ADVE - Advertisements, brochures
Email - E-mails
Form - Forms
Letter - Letters
Memo - Memorandums
News - Articles, including news articles
Invoice - Invoices
Report - Reports
Resume - CVs, resumes
Scientific - Scientific papers
Other - Other classes of documents or cases where the classifier is uncertain

Sentiment Taxonomy

The Sentiment taxonomy is used for classifying text based on sentiment:

Negative
Positive

Sentiment3 Taxonomy

The Sentiment3 taxonomy provides a more granular classification with three categories:

Negative
Neutral
Positive

System Requirements

Category	Details
Operating Systems	- Windows: Windows 7 and above, including server versions.
	- macOS: macOS 10.12+.
	- Linux: Various distributions including Ubuntu, CentOS, and more.
Memory Requirements	Minimum 3GB RAM
Development Environments	Fully compatible with Microsoft Visual Studio 2013 and higher.
Supported Frameworks	.NET Framework 4.7+, .NET Core 2.0+, and .NET Standard 2.0.

Installation

NuGet Package Manager GUI

Open Visual Studio and your project.
Go to Tools > NuGet Package Manager > Manage NuGet Packages for Solution.
Search for “GroupDocs.Classification”.
Click Install.

Package Manager Console

Open the Package Manager Console.

Run the command:

Install-Package GroupDocs.Classification

Manual Download

Download from the GroupDocs website.
Add a reference to GroupDocs.Classification.dll in your project.

Licensing

GroupDocs.Classification Cloud API is offered under a flexible licensing model. You can start with a free trial to evaluate the API, and when you are ready for production, various licensing options are available based on your project requirements. Please feel free to Contact Us for more detailed licensing information.

GroupDocs.Classification for .NET Code Samples

Classify a Document by Path

var classifier = new Classifier();
var response = classifier.Classify("document.pdf", ".", 3, Taxonomy.Iab2);
Console.WriteLine(response.BestClassName, response.BestClassProbability);

Classify Raw Text

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

Sentiment Analysis

var sentimentClassifier = new SentimentClassifier();
var positiveProbability = sentimentClassifier.PositiveProbability("This is a must-have item.");
Console.WriteLine($"Positive sentiment probability: {positiveProbability}");