hash tables for vectorizing text-based documents
Project description
If you have documents with class labels, and you want to create numeric representations of those documents that maximize inter-class differences, then this package is for you. This package provides vectorizing hash tables that quickly transform your text, optimizing for the maximum distance between document-class vectors.
This project has a C++ backend with a python interface, allowing for maximum speed and maximum interopability.
To get started, check out the docs!
If you will be contributing to this repo, checkout the developer guide.
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