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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "shorttext"
version = "2.1.0"
authors = [
{name = "Kwan Yuet Stephen Ho", email = "[email protected]"}
]
description = "Short Text Mining"
readme = {file = "README.md", content-type = "text/markdown"}
license = {text = "MIT"}
keywords = ["shorttext", "natural language processing", "text mining"]
requires-python = ">=3.9"
classifiers = [
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Text Processing :: Linguistic",
"Topic :: Software Development :: Libraries :: Python Modules",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Natural Language :: English",
"License :: OSI Approved :: MIT License",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Information Technology",
"Intended Audience :: Science/Research"
]
dependencies = [
"numpy>=1.23.3",
"scipy>=1.12.0",
"joblib>=1.3.0",
"scikit-learn>=1.2.0",
"tensorflow>=2.13.0",
"keras>=2.13.0",
"gensim>=4.0.0",
"pandas>=1.2.0",
"snowballstemmer>=2.0.0",
"transformers>=4.39.0",
"torch>=2.0.0",
"numba>=0.57.0",
"deprecation>=2.0.0"
]
[project.urls]
Repository = "https://github.com/stephenhky/PyShortTextCategorization"
Issues = "https://github.com/stephenhky/PyShortTextCategorization/issues"
Documentation = "https://shorttext.readthedocs.io"
[tool.setuptools]
packages = [
"shorttext",
"shorttext.cli",
"shorttext.utils",
"shorttext.classifiers",
"shorttext.classifiers.embed",
"shorttext.classifiers.embed.nnlib",
"shorttext.classifiers.embed.sumvec",
"shorttext.classifiers.bow",
"shorttext.classifiers.bow.topic",
"shorttext.classifiers.bow.maxent",
"shorttext.data",
"shorttext.stack",
"shorttext.generators",
"shorttext.generators.bow",
"shorttext.generators.charbase",
"shorttext.generators.seq2seq",
"shorttext.metrics",
"shorttext.metrics.dynprog",
"shorttext.metrics.wasserstein",
"shorttext.metrics.transformers",
"shorttext.metrics.embedfuzzy",
"shorttext.spell"
]
zip-safe = false
[project.scripts]
ShortTextCategorizerConsole = "shorttext.cli.categorization:main"
ShortTextWordEmbedSimilarity = "shorttext.cli.wordembedsim:main"
[project.optional-dependencies]
test = ["unittest2", "pytest", "simplerepresentations>=0.0.4"]