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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 Open In Colab
KepartX Sentence NLP Open In Colab
KepartX VS Topic Modelling Open In Colab
KepartX Network Comparison Open In Colab

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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