GroupDocs.Classification for .NET

GroupDocsContent Extraction Tools.NET
Version 21.1 (Jan 19, 2021)

Text and document classification API for .NET applications.

  • Classify text and documents into predefined categories programmatically.
  • Use machine learning models for content and sentiment classification.
  • Integrate text classification features into .NET applications.
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Text and document classification API for .NET applications.
GroupDocs.Classification for .NET is an API that enables developers to classify text and documents using built-in machine learning models. It supports content categorization and sentiment analysis, allowing applications to process and organize textual data programmatically within .NET environments.

Text and Document Classification

Provides functionality to classify text and document content into predefined categories. Applications can analyze input text and assign it to relevant classes based on trained machine learning models.

Sentiment Analysis

Supports sentiment classification of text, allowing applications to determine whether content expresses positive or negative sentiment based on its linguistic characteristics.

Multiple Classification Models

Includes predefined models for different classification scenarios, enabling developers to apply appropriate models depending on the type of content and classification requirements.

Document Format Support

Allows classification of content from various document formats by extracting text and processing it through classification models within the application.

Customizable Classification Workflows

Enables integration of classification processes into application workflows, allowing developers to define how and when text analysis and categorization are performed.

API Based Integration

Provides a .NET API that can be integrated into applications for automated classification tasks, enabling programmatic access to machine learning based text analysis features.

Batch Processing Capabilities

Supports processing multiple text inputs or documents in sequence, allowing applications to classify large volumes of content efficiently.

Language Processing Support

Uses machine learning models to analyze text content, enabling classification based on meaning and context rather than simple keyword matching.

Structured Output Generation

Returns classification results in structured formats that can be used by applications for further processing, reporting, or decision making.

Application Integration Flexibility

Allows developers to incorporate classification features into various types of .NET applications, supporting use cases such as content organization and automated data analysis.

Product Compatibility

Review the details below to ensure this product is supported within your environment.

Component Type

  • .NET

.NET Version

  • .NET 10 LTS
  • .NET 9 STS
  • .NET 8 LTS
  • .NET 7 STS
  • .NET 6 LTS
  • .NET 5 / .NET Core 3.1
  • .NET 4.8 or earlier

.NET Platform

  • .NET Assembly
  • .NET Class
  • .NET Core 3.1 Assembly

IDE Support

  • Visual Studio