A Graph-based Perception(Text) Representation
Project description
KeypartX: a graph-based approach to represent perception (text in general) by key parts of speech.
Installation
if need coreferee:
pip install keypartx[coreferee_spacy] <br />
python3 -m coreferee install en <br />
python -m spacy download en_core_web_lg
else:
pip install spacy <br />
pip install keypartx <br />
python -m spacy download en_core_web_lg
Getting Started
For an in-depth overview of the features of KeypartX you can check the full documentation or you can follow along with one of the examples as follows:
Name | Link |
---|---|
KepartX Quick Start | |
KepartX Sentence NLP | |
Kepartx Corpus Network Analysis | |
Kepartx Perception Comparison |
Visualization Examples
*1 NLP Target
*2 Community and Gray Perceptual Unit Networks
Citation
To cite the KeypartX paper, please use the following bibtex reference:
@article{pengyang2022keypartx,
title={KeypartX: Graph-based Perception (Text) Representation},
author={Peng, Yang},
journal={arXiv preprint arXiv:2209.11844},
year={2022}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
keypartx-0.1.4.tar.gz
(29.7 kB
view hashes)
Built Distribution
keypartx-0.1.4-py3-none-any.whl
(32.6 kB
view hashes)