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%global _empty_manifest_terminate_build 0
Name: python-text-models
Version: 1.0.7
Release: 1
Summary: Text Models
License: Apache Software License
URL: https://github.com/ingeotec/text_models
Source0: https://mirrors.aliyun.com/pypi/web/packages/dd/5e/9e5ac47fa08dc35c89cdec05474a33c3b9cffd1b825814c4ef7d070603a2/text_models-1.0.7.tar.gz
BuildArch: noarch
%description
Twitter is perhaps the social media more amenable for research.
It requires only a few steps to obtain information, and there are
plenty of libraries that can help in this regard. Nonetheless,
knowing whether a particular event is expressed on Twitter is a
challenging task that requires a considerable collection of tweets.
This library aims to facilitate, to a researcher interested, the process
of mining events on Twitter by opening a collection of processed
information taken from Twitter since December 2015. The events could be
related to natural disasters, health issues, and people's mobility,
among other studies that can be pursued with the library proposed.
In summary, the Python library retrieves a plethora of information in
terms of frequencies by day of words and bi-grams of words for Arabic,
English, Spanish, and Russian languages. As well as mobility information
related to the number of travels among locations for more than 200 countries or territories.
The documentation is on `readthedocs <https://text_models.readthedocs.io>`_.
%package -n python3-text-models
Summary: Text Models
Provides: python-text-models
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-text-models
Twitter is perhaps the social media more amenable for research.
It requires only a few steps to obtain information, and there are
plenty of libraries that can help in this regard. Nonetheless,
knowing whether a particular event is expressed on Twitter is a
challenging task that requires a considerable collection of tweets.
This library aims to facilitate, to a researcher interested, the process
of mining events on Twitter by opening a collection of processed
information taken from Twitter since December 2015. The events could be
related to natural disasters, health issues, and people's mobility,
among other studies that can be pursued with the library proposed.
In summary, the Python library retrieves a plethora of information in
terms of frequencies by day of words and bi-grams of words for Arabic,
English, Spanish, and Russian languages. As well as mobility information
related to the number of travels among locations for more than 200 countries or territories.
The documentation is on `readthedocs <https://text_models.readthedocs.io>`_.
%package help
Summary: Development documents and examples for text-models
Provides: python3-text-models-doc
%description help
Twitter is perhaps the social media more amenable for research.
It requires only a few steps to obtain information, and there are
plenty of libraries that can help in this regard. Nonetheless,
knowing whether a particular event is expressed on Twitter is a
challenging task that requires a considerable collection of tweets.
This library aims to facilitate, to a researcher interested, the process
of mining events on Twitter by opening a collection of processed
information taken from Twitter since December 2015. The events could be
related to natural disasters, health issues, and people's mobility,
among other studies that can be pursued with the library proposed.
In summary, the Python library retrieves a plethora of information in
terms of frequencies by day of words and bi-grams of words for Arabic,
English, Spanish, and Russian languages. As well as mobility information
related to the number of travels among locations for more than 200 countries or territories.
The documentation is on `readthedocs <https://text_models.readthedocs.io>`_.
%prep
%autosetup -n text_models-1.0.7
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-text-models -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.7-1
- Package Spec generated
|
