Welcome to DACKAR’s documentation!

Contents:

• Installation with spaCy
  • How to install dependency libraries
  • Install the required libraries
  • Download language model from spaCy
  • Required nltk data for similarity analysis
  • Retrain quantulum3 classifier if needed
  • Different approach when there is an issue with SSLError
• Support
  • Developers:
• Notebooks
  • Preprocessing demo
  • Coherent text example with Autocorrect and ContextualSpellCheck spelling correction
  • Workflow Demo
  • Abbreviation Handler Demo
  • Pipelines
  • Similarity Demo

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.