konsepy

Name	konsepy JSON
Version	0.1.1 JSON
	download
home_page	None
Summary	Framework for build NLP information extraction systems using regular expressions.
upload_time	2024-11-19 18:46:00
maintainer	None
docs_url	None
author	None
requires_python	>=3.10
license	None
keywords	nlp
VCS
bugtrack_url
requirements	loguru pytest
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            
# konsepy

Framework for build NLP information extraction systems using regular expressions. `konsepy` then enables leveraging the NLP system to create a silver standard for fine-tuning a transformer model. 

## Installation

* `konsepy` is designed to be used with the [`knosepy_nlp_template`](https://github.com/kpwhri/konsepy_nlp_template)
  * See the README there for current installation instructions.
* To use `konsepy` as a standalone entity:
  * Install with `pip`:
    * `pip install konsepy[all]`
    * For sentence-splitting corpora from fine-tuning a sentence based transformer, `spacy` will also need to be installed and configured.

## Usage

For now, find documentation for this library (and a template to download) from https://github.com/kpwhri/konsepy_nlp_template.


## Roadmap

* Change labels to some metadata object to allow more diverse input sources and run info


            

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