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Welcome to the Annif wiki!

• Getting started
• System requirements
• Optional features and dependencies
• Usage with Docker
• Architecture
• Commands
• Web user interface
• REST API
• Corpus formats
  • Document corpus formats
  • Subject vocabulary formats
• Project configuration
• Analyzers
• Transforms
• Language detection
• Hugging Face Hub integration
• Achieving good results
• Reusing preprocessed training data
• Running as a WSGI service
• Backward compatibility between Annif releases
• Backends/Algorithms supported by Annif
  • Regular backends for automated subject indexing and classification
    • Backend: TF-IDF
    • Backend: fastText
    • Backend: Omikuji
    • Backend: MLLM
    • Backend: STWFSA
    • Backend: YAKE
    • Backend: SVC
  • Fusion/Ensemble backends that combine results from other backends
    • Backend: Ensemble
    • Backend: PAV
    • Backend: nn_ensemble
  • Special backends
    • Backend: HTTP
    • Backend: Dummy
• Developer information
  • Development flow, branches and tags
  • Release process
  • Creating a new backend