/
setup.py
47 lines (42 loc) · 1.58 KB
/
setup.py
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from setuptools import setup, find_packages
from codecs import open
from os import path
try: # for pip >= 10
from pip._internal.req import parse_requirements
except ImportError: # for pip <= 9.0.3
from pip.req import parse_requirements
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
install_reqs = parse_requirements('requirements.txt', session='session')
reqs = [str(ir.req) for ir in install_reqs]
setup(
name='EmoInt',
version='0.1.3',
description='Affective Computing',
long_description=long_description,
url='https://github.com/seernet/EmoInt',
author='Venkatesh Duppada',
author_email='venkatesh.duppada@seernet.io',
license='GPLv3',
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
],
keywords='sentiment emotion affective computing machine learning',
packages=find_packages(),
setup_requires=[
],
install_requires=reqs,
extras_require={},
package_data={
'emoint': ['resources/*gz', 'resources/*csv', 'resources/*dic', 'resources/*jar', 'resources/NRC-Hashtag-Sentiment-Lexicon-v0.1/*', 'resources/SentiStrength/*',
'resources/Sentiment140-Lexicon-v0.1/*', 'resources/emoint/*']
},
data_files=[],
entry_points={},
)