GroupDocs.Classification 21.1.0

Advanced .NET API for Document & Text Classification

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

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

Installation

NuGet Package Manager GUI

1. Open Visual Studio and your project.
2. Go to Tools > NuGet Package Manager > Manage NuGet Packages for Solution.
3. Search for "GroupDocs.Classification".
4. Click Install.

Package Manager Console

1. Open the Package Manager Console.
2. Run the command:

   Install-Package GroupDocs.Classification
   

Manual Download

1. Download from the GroupDocs website.
2. 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

Basic Usage Examples

• 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}");
  

Tags

Document Classification API | Text Extraction | .NET Cloud API | Metadata Management | REST API | SDK for .NET | IAB-2 Taxonomy | Sentiment Analysis | Batch Processing | Cloud API | Metadata Parsing | Text Parsing | Document Taxonomy | Custom Classification | JWT Authentication | Secure API | Data Encryption | Scalable API | API Explorer | Platform Agnostic | Real-time Classification | High Accuracy Classification | Machine Learning | Cross-Platform | Multi-Platform Support | Automatic Scaling | Docker Support | Self-hosting | GitHub Repository | API Integration | Document Processing | Content Management | Targeted Advertising | Customer Feedback | Sentiment Taxonomy | Text Processing