Welcome to DACKAR’s documentation!

Contents:

• Installation
  • Operating Environments
  • Clone DACKAR
  • Install the Required Libraries with Python 3.11
  • Install the Required Libraries with Python 3.12
  • Install the Required Libraries with Python 3.13
  • Install the Required Libraries with Python 3.14
  • Install Additional Libraries
  • Download Language Model from spaCy
  • Required NLTK Data for Similarity Analysis
  • Retrain Quantulum3 Classifier (Optional)
• Support
  • Developers:
• Notebooks
  • Preprocessing Demo
  • Abbreviation Handler Demo
  • Pipelines
  • Similarity Demo
  • NLP Alias Demo
  • ER Schema
  • MBSE
  • Rule-based NLP
  • Workflow Demo
  • Work Order Processing
  • Anomaly Detection
  • Knowledge Graph Demo
• Knowledge Graph Construction Through Neo4j
  • Install Additional Required Libraries
  • Connect to Neo4j via DACKAR Py2Neo Module
  • Knowledge Graph Construction Through Schemas

Contributions

All contributions are welcome. You can help this project grow in multiple ways, from creating an issue, reporting an improvement or a bug, to doing a repository fork and creating a pull request to the development branch. The people involved at some point in the development of the package can be found in the contributors page.

License

The package is licensed under the Apache 2.0 License. A copy of the license can be found along with the code or in the project page.