GroupDocs.Classification for .NET 관련 정보

.NET 응용 프로그램을 위한 텍스트 및 문서 분류 API.

GroupDocs.Classification for .NET is a document and text classification API for C#, ASP.NET, VB.NET, J# or any other .NET based application. Developers can work with four different types of taxonomies to perform advanced classification, either by using IAB-2 for assigning standardized text categories to text, document taxonomy developed by Aspose for different document types or Sentiment (and Sentiment3) for sentiment analysis. The library analyses text, sentences, even words and supports classifying a variety of industry standard document formats including PDF, Microsoft Word, OpenDocument, RTF and text. Sentiment analysis (classification) supports English, Chinese, Spanish, and German languages with language auto-detection. GroupDocs.Classification for .NET uses its own document processing engine and does not require any external tools be installed on the system.

Supported File Formats

Microsoft Office

  • Word: DOC, DOCX, DOCM, DOT, DOTX, DOTM, RTF‎

Other Formats

  • Fixed Layout: PDF
  • OpenDocument: ODT, OTT
  • Text: TXT

GroupDocs.Classification for .NET Features

  • Different types of classification support, including sentiment analysis, documents, and IAB classification.
  • Perform Raw Text Classification with IAB‑2, Documents, Sentiment, or Sentiment3 taxonomies.
  • Sentiment analysis capabilities that enable businesses to analyze the emotional tone of text for English, Chinese, Spanish, and German.
  • IAB (Interactive Advertising Bureau) capabilities, enabling businesses to classify their content according to IAB taxonomy.
  • Document classification capabilities to detect if document is invoice, letter, CV, paper, etc.
  • Wide range of document formats supports, including PDF, DOC, DOCX, RTF, and TXT as well as plain text.
  • As implemented using Managed C#, GroupDocs.Classification can be used with any .NET language like C#, VB.NET and J#.
  • Easy integration with any kind of application either it’s an ASP.NET Web Application or a Windows Application.
  • 100% Working Examples & Demos are Given to Quickly Learn the Supported Features.
  • Advanced ML algorithms to ensure high accuracy in classification results and multi-threading support to improve performance.
  • User-friendly API that is easy to use and integrate with other software applications.