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]
python3 -m coreferee install en
python -m spacy download en_core_web_lg
else:
pip install spacy
pip install keypartx
python -m spacy download en_core_web_lg
Getting Started
For an in-depth overview of the features of KeypartX you can check the Documents or you can follow along with one of the examples as follows:
Name | Link |
---|---|
KepartX Quick Start | |
KepartX Sentence NLP | |
KepartX VS Topic Modelling | |
KepartX Network Comparison |
Visualization Examples
- 1 NLP Target
Original sentence: Thai food was great,delicousr and not expensive, we loved it. We visited 3 beach resorts, they are higly recommened... We had "Fire-Vodka" !!!
- 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
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