%global _empty_manifest_terminate_build 0
Name:		python-textblob
Version:	0.17.1
Release:	1
Summary:	Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
License:	MIT
URL:		https://github.com/sloria/TextBlob
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/bc/63/8c6f75b7edce0bbaed1d74f03b14c399767fcf08966c227182b62ad63426/textblob-0.17.1.tar.gz
BuildArch:	noarch

Requires:	python3-nltk
Requires:	python3-nltk

%description
Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
    from textblob import TextBlob
    text = '''
    The titular threat of The Blob has always struck me as the ultimate movie
    monster: an insatiably hungry, amoeba-like mass able to penetrate
    virtually any safeguard, capable of--as a doomed doctor chillingly
    describes it--"assimilating flesh on contact.
    Snide comparisons to gelatin be damned, it's a concept with the most
    devastating of potential consequences, not unlike the grey goo scenario
    proposed by technological theorists fearful of
    artificial intelligence run rampant.
    '''
    blob = TextBlob(text)
    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
                        #  ('threat', 'NN'), ('of', 'IN'), ...]
    blob.noun_phrases   # WordList(['titular threat', 'blob',
                        #            'ultimate movie monster',
                        #            'amoeba-like mass', ...])
    for sentence in blob.sentences:
        print(sentence.sentiment.polarity)
    # 0.060
    # -0.341
TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.

%package -n python3-textblob
Summary:	Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
Provides:	python-textblob
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-textblob
Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
    from textblob import TextBlob
    text = '''
    The titular threat of The Blob has always struck me as the ultimate movie
    monster: an insatiably hungry, amoeba-like mass able to penetrate
    virtually any safeguard, capable of--as a doomed doctor chillingly
    describes it--"assimilating flesh on contact.
    Snide comparisons to gelatin be damned, it's a concept with the most
    devastating of potential consequences, not unlike the grey goo scenario
    proposed by technological theorists fearful of
    artificial intelligence run rampant.
    '''
    blob = TextBlob(text)
    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
                        #  ('threat', 'NN'), ('of', 'IN'), ...]
    blob.noun_phrases   # WordList(['titular threat', 'blob',
                        #            'ultimate movie monster',
                        #            'amoeba-like mass', ...])
    for sentence in blob.sentences:
        print(sentence.sentiment.polarity)
    # 0.060
    # -0.341
TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.

%package help
Summary:	Development documents and examples for textblob
Provides:	python3-textblob-doc
%description help
Homepage: `https://textblob.readthedocs.io/ <https://textblob.readthedocs.io/>`_
`TextBlob` is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
    from textblob import TextBlob
    text = '''
    The titular threat of The Blob has always struck me as the ultimate movie
    monster: an insatiably hungry, amoeba-like mass able to penetrate
    virtually any safeguard, capable of--as a doomed doctor chillingly
    describes it--"assimilating flesh on contact.
    Snide comparisons to gelatin be damned, it's a concept with the most
    devastating of potential consequences, not unlike the grey goo scenario
    proposed by technological theorists fearful of
    artificial intelligence run rampant.
    '''
    blob = TextBlob(text)
    blob.tags           # [('The', 'DT'), ('titular', 'JJ'),
                        #  ('threat', 'NN'), ('of', 'IN'), ...]
    blob.noun_phrases   # WordList(['titular threat', 'blob',
                        #            'ultimate movie monster',
                        #            'amoeba-like mass', ...])
    for sentence in blob.sentences:
        print(sentence.sentiment.polarity)
    # 0.060
    # -0.341
TextBlob stands on the giant shoulders of `NLTK`_ and `pattern`_, and plays nicely with both.

%prep
%autosetup -n textblob-0.17.1

%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-textblob -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.17.1-1
- Package Spec generated