A Python package for NLP tasks related to Chinese text.

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  • License: MIT
  • Author: Maciej Kurzynski
  • Tags digital humanities , nlp , Chinese , text analysis , corpus linguistics , topic modeling , stylometry
  • Requires: Python >=3.10
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Project description

qhChina

A Python toolkit for computational analysis of Chinese texts in humanities research.

Features

  • Preprocessing: Chinese text segmentation with multiple backends (spaCy, Jieba, BERT, LLM)
  • Word Embeddings: Word2Vec training and temporal semantic change analysis (TempRefWord2Vec)
  • Topic Modeling: LDA with Gibbs sampling and Cython acceleration
  • Stylometry: Authorship attribution and document clustering
  • Collocations: Statistical collocation analysis and co-occurrence matrices
  • Corpus Comparison: Identify significant vocabulary differences between corpora
  • Helpers: CJK font management, text loading, stopwords

Installation

pip install qhchina

Building from Source

git clone https://github.com/mcjkurz/qhchina.git
cd qhchina
pip install -e .

This will compile the Cython extensions and install the package in editable mode.

Documentation

Full documentation and examples: www.qhchina.org/docs/

Tests

pip install pytest
pytest tests/

License

MIT License

Project details

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  • License: MIT
  • Author: Maciej Kurzynski
  • Tags digital humanities , nlp , Chinese , text analysis , corpus linguistics , topic modeling , stylometry
  • Requires: Python >=3.10
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0.1.47

0.1.46

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0.1.44

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0.1.4

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