| Name | qhchina JSON |
| Version |
0.0.55
JSON |
| download |
| home_page | None |
| Summary | A Python package for NLP tasks related to Chinese text. |
| upload_time | 2025-10-11 03:31:51 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | Copyright 2025 Maciej Kurzynski
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
digital humanities
nlp
chinese
text analysis
corpus linguistics
topic modeling
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# qhChina
A Python package for NLP tasks related to Chinese text analysis.
## Features
- **Collocation Analysis**: Find significant word co-occurrences with optimized Cython implementation
- **Topic Modeling**: Fast LDA implementation with Cython acceleration
- **Corpus Comparison**: Statistical comparison of different text corpora
- **Word Embeddings**: Work with Word2Vec and other embedding models
## Installation
```bash
pip install qhchina
```
## Documentation
Full documentation and examples: [www.qhchina.org](https://www.qhchina.org)
## Repository Structure
The package source code is in the `qhchina` folder.
## License
MIT License
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