Metadata-Version: 2.4
Name: shorttext-bert
Version: 0.0.1
Summary: Short Text Mining
Author-email: Kwan Yuet Stephen Ho <stephenhky@yahoo.com.hk>
License: MIT
Project-URL: Repository, https://github.com/stephenhky/PyShortTextCategorization-BERT
Project-URL: Issues, https://github.com/stephenhky/PyShortTextCategorization-BERT/issues
Project-URL: Documentation, https://pyshorttextcategorization-bert.readthedocs.io/
Keywords: shorttext,natural language processing,text mining,BERT
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.23.3
Requires-Dist: transformers>=4.39.0
Requires-Dist: torch>=2.0.0
Provides-Extra: test
Requires-Dist: unittest2; extra == "test"
Requires-Dist: pytest; extra == "test"
Dynamic: license-file

# PyShortTextCategorization-BERT

This Python package receives the modules from
[PyShortTextCategorization](https://github.com/stephenhky/PyShortTextCategorization)
that uses PyTorch and HuggingFace.

## Installation

To install, type in command line:

```aiignore
pip install shorttext-bert
```

To know how to use it, please refer to the [documentation](https://pyshorttextcategorization-bert.readthedocs.io/).
