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
1 maintainer
Release files for qhchina 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qhchina-0.2.1.tar.gz | 1.3 MB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| qhchina-0.2.1-cp314-cp314-win_amd64.whl | CPython 3.14 | CPython 3.14 | Windows x86-64 | Details |
| qhchina-0.2.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | CPython 3.14 | CPython 3.14 | Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 | Details |
| qhchina-0.2.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl | CPython 3.14 | CPython 3.14 | Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 | Details |
| qhchina-0.2.1-cp314-cp314-macosx_10_15_universal2.whl | CPython 3.14 | CPython 3.14 | macOS 10.15+ universal2 (ARM64, x86-64) | Details |
| qhchina-0.2.1-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details |
| qhchina-0.2.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 | Details |
| qhchina-0.2.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 | Details |
| qhchina-0.2.1-cp313-cp313-macosx_10_13_universal2.whl | CPython 3.13 | CPython 3.13 | macOS 10.13+ universal2 (ARM64, x86-64) | Details |
| qhchina-0.2.1-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| qhchina-0.2.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| qhchina-0.2.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 | Details |
| qhchina-0.2.1-cp312-cp312-macosx_10_13_universal2.whl | CPython 3.12 | CPython 3.12 | macOS 10.13+ universal2 (ARM64, x86-64) | Details |
| qhchina-0.2.1-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
| qhchina-0.2.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64 | Details |
| qhchina-0.2.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl | CPython 3.11 | CPython 3.11 | Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 | Details |
| qhchina-0.2.1-cp311-cp311-macosx_10_9_universal2.whl | CPython 3.11 | CPython 3.11 | macOS 10.9+ universal2 (ARM64, x86-64) | Details |
Total release size: 39.3 MB
Release files / qhchina-0.2.1.tar.gz
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| Download URL | qhchina-0.2.1-cp311-cp311-macosx_10_9_universal2.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64) |
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SHA-256 checksum How to use checksums |
eb02ecf5337df2030d0eb119a6b82a50e29498d3b99ed88694c23091848d1132
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BLAKE2b-256 checksum How to use checksums |
67971737fe5b83266cabbbaa7937285b3cf2344aef42210dfa5cba478669729c
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Signed by GitHub Actions, verified by PyPI on Jul 31, 2026.
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