automatic import of python-shorttext

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+/shorttext-1.5.8.tar.gz
diff --git a/python-shorttext.spec b/python-shorttext.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-shorttext
+Version:	1.5.8
+Release:	1
+Summary:	Short Text Mining
+License:	MIT
+URL:		https://github.com/stephenhky/PyShortTextCategorization
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/0e/35/1333b0e1b688edd9e6b382cd5dbbd4abc0530ec9511b4d12a81a5ee3cdf2/shorttext-1.5.8.tar.gz
+BuildArch:	noarch
+
+
+%description
+## Introduction
+
+This package `shorttext` is a Python package that facilitates supervised and unsupervised
+learning for short text categorization. Due to the sparseness of words and
+the lack of information carried in the short texts themselves, an intermediate
+representation of the texts and documents are needed before they are put into
+any classification algorithm. In this package, it facilitates various types
+of these representations, including topic modeling and word-embedding algorithms.
+
+Since release 1.5.2, it runs on Python 3.9.
+Since release 1.5.0, support for Python 3.6 was decommissioned.
+Since release 1.2.4, it runs on Python 3.8.
+Since release 1.2.3, support for Python 3.5 was decommissioned. 
+Since release 1.1.7, support for Python 2.7 was decommissioned.
+Since release 1.0.8, it runs on Python 3.7 with 'TensorFlow' being the backend for `keras`.
+Since release 1.0.7, it runs on Python 3.7 as well, but the backend for `keras` cannot be `TensorFlow`.
+Since release 1.0.0, `shorttext` runs on Python 2.7, 3.5, and 3.6.
+
+Characteristics:
+
+- example data provided (including subject keywords and NIH RePORT);
+- text preprocessing;
+- pre-trained word-embedding support;
+- `gensim` topic models (LDA, LSI, Random Projections) and autoencoder;
+- topic model representation supported for supervised learning using `scikit-learn`;
+- cosine distance classification;
+- neural network classification (including ConvNet, and C-LSTM);
+- maximum entropy classification;
+- metrics of phrases differences, including soft Jaccard score (using Damerau-Levenshtein distance), and Word Mover's distance (WMD);
+- character-level sequence-to-sequence (seq2seq) learning; 
+- spell correction;
+- API for word-embedding algorithm for one-time loading; and
+- Sentence encodings and similarities based on BERT.
+
+## Documentation
+
+Documentation and tutorials for `shorttext` can be found here: [http://shorttext.rtfd.io/](http://shorttext.rtfd.io/).
+
+See [tutorial](http://shorttext.readthedocs.io/en/latest/tutorial.html) for how to use the package, and [FAQ](https://shorttext.readthedocs.io/en/latest/faq.html).
+
+## Installation
+
+To install it, in a console, use `pip`.
+
+```
+>>> pip install -U shorttext
+```
+
+or, if you want the most recent development version on Github, type
+
+```
+>>> pip install -U git+https://github.com/stephenhky/PyShortTextCategorization@master
+```
+
+Developers are advised to make sure `Keras` >=2 be installed. Users are advised to install the backend `Tensorflow` (preferred) or `Theano` in advance. It is desirable if `Cython` has been previously installed too.
+
+See [installation guide](https://shorttext.readthedocs.io/en/latest/install.html) for more details.
+
+
+## Issues
+
+To report any issues, go to the [Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) tab of the Github page and start a thread.
+It is welcome for developers to submit pull requests on their own
+to fix any errors.
+
+## Contributors
+
+If you would like to contribute, feel free to submit the pull requests. You can talk to me in advance through e-mails or the
+[Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) page.
+
+## Useful Links
+
+* Documentation: [http://shorttext.readthedocs.io](http://shorttext.readthedocs.io/)
+* Github: [https://github.com/stephenhky/PyShortTextCategorization](https://github.com/stephenhky/PyShortTextCategorization)
+* PyPI: [https://pypi.org/project/shorttext/](https://pypi.org/project/shorttext/)
+* "Package shorttext 1.0.0 released," [Medium](https://medium.com/@stephenhky/package-shorttext-1-0-0-released-ca3cb24d0ff3)
+* "Python Package for Short Text Mining", [WordPress](https://datawarrior.wordpress.com/2016/12/22/python-package-for-short-text-mining/)
+* "Document-Term Matrix: Text Mining in R and Python," [WordPress](https://datawarrior.wordpress.com/2018/01/22/document-term-matrix-text-mining-in-r-and-python/)
+* An [earlier version](https://github.com/stephenhky/PyShortTextCategorization/tree/b298d3ce7d06a9b4e0f7d32f27bab66064ba7afa) of this repository is a demonstration of the following blog post: [Short Text Categorization using Deep Neural Networks and Word-Embedding Models](https://datawarrior.wordpress.com/2016/10/12/short-text-categorization-using-deep-neural-networks-and-word-embedding-models/)
+
+
+## News
+
+* 09/23/2022: `shorttext` 1.5.8 released.
+* 09/22/2022: `shorttext` 1.5.7 released.
+* 08/29/2022: `shorttext` 1.5.6 released.
+* 05/28/2022: `shorttext` 1.5.5 released.
+* 12/15/2021: `shorttext` 1.5.4 released.
+* 07/11/2021: `shorttext` 1.5.3 released.
+* 07/06/2021: `shorttext` 1.5.2 released.
+* 04/10/2021: `shorttext` 1.5.1 released.
+* 04/09/2021: `shorttext` 1.5.0 released.
+* 02/11/2021: `shorttext` 1.4.8 released.
+* 01/11/2021: `shorttext` 1.4.7 released.
+* 01/03/2021: `shorttext` 1.4.6 released.
+* 12/28/2020: `shorttext` 1.4.5 released.
+* 12/24/2020: `shorttext` 1.4.4 released.
+* 11/10/2020: `shorttext` 1.4.3 released.
+* 10/18/2020: `shorttext` 1.4.2 released.
+* 09/23/2020: `shorttext` 1.4.1 released.
+* 09/02/2020: `shorttext` 1.4.0 released.
+* 07/23/2020: `shorttext` 1.3.0 released.
+* 06/05/2020: `shorttext` 1.2.6 released.
+* 05/20/2020: `shorttext` 1.2.5 released.
+* 05/13/2020: `shorttext` 1.2.4 released.
+* 04/28/2020: `shorttext` 1.2.3 released.
+* 04/07/2020: `shorttext` 1.2.2 released.
+* 03/23/2020: `shorttext` 1.2.1 released.
+* 03/21/2020: `shorttext` 1.2.0 released.
+* 12/01/2019: `shorttext` 1.1.6 released.
+* 09/24/2019: `shorttext` 1.1.5 released.
+* 07/20/2019: `shorttext` 1.1.4 released.
+* 07/07/2019: `shorttext` 1.1.3 released.
+* 06/05/2019: `shorttext` 1.1.2 released.
+* 04/23/2019: `shorttext` 1.1.1 released.
+* 03/03/2019: `shorttext` 1.1.0 released.
+* 02/14/2019: `shorttext` 1.0.8 released.
+* 01/30/2019: `shorttext` 1.0.7 released.
+* 01/29/2019: `shorttext` 1.0.6 released.
+* 01/13/2019: `shorttext` 1.0.5 released.
+* 10/03/2018: `shorttext` 1.0.4 released.
+* 08/06/2018: `shorttext` 1.0.3 released.
+* 07/24/2018: `shorttext` 1.0.2 released.
+* 07/17/2018: `shorttext` 1.0.1 released.
+* 07/14/2018: `shorttext` 1.0.0 released.
+* 06/18/2018: `shorttext` 0.7.2 released.
+* 05/30/2018: `shorttext` 0.7.1 released.
+* 05/17/2018: `shorttext` 0.7.0 released.
+* 02/27/2018: `shorttext` 0.6.0 released.
+* 01/19/2018: `shorttext` 0.5.11 released.
+* 01/15/2018: `shorttext` 0.5.10 released.
+* 12/14/2017: `shorttext` 0.5.9 released.
+* 11/08/2017: `shorttext` 0.5.8 released.
+* 10/27/2017: `shorttext` 0.5.7 released.
+* 10/17/2017: `shorttext` 0.5.6 released.
+* 09/28/2017: `shorttext` 0.5.5 released.
+* 09/08/2017: `shorttext` 0.5.4 released.
+* 09/02/2017: end of GSoC project. ([Report](https://rare-technologies.com/chinmayas-gsoc-2017-summary-integration-with-sklearn-keras-and-implementing-fasttext/))
+* 08/22/2017: `shorttext` 0.5.1 released.
+* 07/28/2017: `shorttext` 0.4.1 released.
+* 07/26/2017: `shorttext` 0.4.0 released.
+* 06/16/2017: `shorttext` 0.3.8 released.
+* 06/12/2017: `shorttext` 0.3.7 released.
+* 06/02/2017: `shorttext` 0.3.6 released.
+* 05/30/2017: GSoC project ([Chinmaya Pancholi](https://rare-technologies.com/google-summer-of-code-2017-week-1-on-integrating-gensim-with-scikit-learn-and-keras/), with [gensim](https://radimrehurek.com/gensim/))
+* 05/16/2017: `shorttext` 0.3.5 released.
+* 04/27/2017: `shorttext` 0.3.4 released.
+* 04/19/2017: `shorttext` 0.3.3 released.
+* 03/28/2017: `shorttext` 0.3.2 released.
+* 03/14/2017: `shorttext` 0.3.1 released.
+* 02/23/2017: `shorttext` 0.2.1 released.
+* 12/21/2016: `shorttext` 0.2.0 released.
+* 11/25/2016: `shorttext` 0.1.2 released.
+* 11/21/2016: `shorttext` 0.1.1 released.
+
+## Possible Future Updates
+
+- [ ] Dividing components to other packages;
+- [ ] More available corpus.
+
+%package -n python3-shorttext
+Summary:	Short Text Mining
+Provides:	python-shorttext
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-shorttext
+## Introduction
+
+This package `shorttext` is a Python package that facilitates supervised and unsupervised
+learning for short text categorization. Due to the sparseness of words and
+the lack of information carried in the short texts themselves, an intermediate
+representation of the texts and documents are needed before they are put into
+any classification algorithm. In this package, it facilitates various types
+of these representations, including topic modeling and word-embedding algorithms.
+
+Since release 1.5.2, it runs on Python 3.9.
+Since release 1.5.0, support for Python 3.6 was decommissioned.
+Since release 1.2.4, it runs on Python 3.8.
+Since release 1.2.3, support for Python 3.5 was decommissioned. 
+Since release 1.1.7, support for Python 2.7 was decommissioned.
+Since release 1.0.8, it runs on Python 3.7 with 'TensorFlow' being the backend for `keras`.
+Since release 1.0.7, it runs on Python 3.7 as well, but the backend for `keras` cannot be `TensorFlow`.
+Since release 1.0.0, `shorttext` runs on Python 2.7, 3.5, and 3.6.
+
+Characteristics:
+
+- example data provided (including subject keywords and NIH RePORT);
+- text preprocessing;
+- pre-trained word-embedding support;
+- `gensim` topic models (LDA, LSI, Random Projections) and autoencoder;
+- topic model representation supported for supervised learning using `scikit-learn`;
+- cosine distance classification;
+- neural network classification (including ConvNet, and C-LSTM);
+- maximum entropy classification;
+- metrics of phrases differences, including soft Jaccard score (using Damerau-Levenshtein distance), and Word Mover's distance (WMD);
+- character-level sequence-to-sequence (seq2seq) learning; 
+- spell correction;
+- API for word-embedding algorithm for one-time loading; and
+- Sentence encodings and similarities based on BERT.
+
+## Documentation
+
+Documentation and tutorials for `shorttext` can be found here: [http://shorttext.rtfd.io/](http://shorttext.rtfd.io/).
+
+See [tutorial](http://shorttext.readthedocs.io/en/latest/tutorial.html) for how to use the package, and [FAQ](https://shorttext.readthedocs.io/en/latest/faq.html).
+
+## Installation
+
+To install it, in a console, use `pip`.
+
+```
+>>> pip install -U shorttext
+```
+
+or, if you want the most recent development version on Github, type
+
+```
+>>> pip install -U git+https://github.com/stephenhky/PyShortTextCategorization@master
+```
+
+Developers are advised to make sure `Keras` >=2 be installed. Users are advised to install the backend `Tensorflow` (preferred) or `Theano` in advance. It is desirable if `Cython` has been previously installed too.
+
+See [installation guide](https://shorttext.readthedocs.io/en/latest/install.html) for more details.
+
+
+## Issues
+
+To report any issues, go to the [Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) tab of the Github page and start a thread.
+It is welcome for developers to submit pull requests on their own
+to fix any errors.
+
+## Contributors
+
+If you would like to contribute, feel free to submit the pull requests. You can talk to me in advance through e-mails or the
+[Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) page.
+
+## Useful Links
+
+* Documentation: [http://shorttext.readthedocs.io](http://shorttext.readthedocs.io/)
+* Github: [https://github.com/stephenhky/PyShortTextCategorization](https://github.com/stephenhky/PyShortTextCategorization)
+* PyPI: [https://pypi.org/project/shorttext/](https://pypi.org/project/shorttext/)
+* "Package shorttext 1.0.0 released," [Medium](https://medium.com/@stephenhky/package-shorttext-1-0-0-released-ca3cb24d0ff3)
+* "Python Package for Short Text Mining", [WordPress](https://datawarrior.wordpress.com/2016/12/22/python-package-for-short-text-mining/)
+* "Document-Term Matrix: Text Mining in R and Python," [WordPress](https://datawarrior.wordpress.com/2018/01/22/document-term-matrix-text-mining-in-r-and-python/)
+* An [earlier version](https://github.com/stephenhky/PyShortTextCategorization/tree/b298d3ce7d06a9b4e0f7d32f27bab66064ba7afa) of this repository is a demonstration of the following blog post: [Short Text Categorization using Deep Neural Networks and Word-Embedding Models](https://datawarrior.wordpress.com/2016/10/12/short-text-categorization-using-deep-neural-networks-and-word-embedding-models/)
+
+
+## News
+
+* 09/23/2022: `shorttext` 1.5.8 released.
+* 09/22/2022: `shorttext` 1.5.7 released.
+* 08/29/2022: `shorttext` 1.5.6 released.
+* 05/28/2022: `shorttext` 1.5.5 released.
+* 12/15/2021: `shorttext` 1.5.4 released.
+* 07/11/2021: `shorttext` 1.5.3 released.
+* 07/06/2021: `shorttext` 1.5.2 released.
+* 04/10/2021: `shorttext` 1.5.1 released.
+* 04/09/2021: `shorttext` 1.5.0 released.
+* 02/11/2021: `shorttext` 1.4.8 released.
+* 01/11/2021: `shorttext` 1.4.7 released.
+* 01/03/2021: `shorttext` 1.4.6 released.
+* 12/28/2020: `shorttext` 1.4.5 released.
+* 12/24/2020: `shorttext` 1.4.4 released.
+* 11/10/2020: `shorttext` 1.4.3 released.
+* 10/18/2020: `shorttext` 1.4.2 released.
+* 09/23/2020: `shorttext` 1.4.1 released.
+* 09/02/2020: `shorttext` 1.4.0 released.
+* 07/23/2020: `shorttext` 1.3.0 released.
+* 06/05/2020: `shorttext` 1.2.6 released.
+* 05/20/2020: `shorttext` 1.2.5 released.
+* 05/13/2020: `shorttext` 1.2.4 released.
+* 04/28/2020: `shorttext` 1.2.3 released.
+* 04/07/2020: `shorttext` 1.2.2 released.
+* 03/23/2020: `shorttext` 1.2.1 released.
+* 03/21/2020: `shorttext` 1.2.0 released.
+* 12/01/2019: `shorttext` 1.1.6 released.
+* 09/24/2019: `shorttext` 1.1.5 released.
+* 07/20/2019: `shorttext` 1.1.4 released.
+* 07/07/2019: `shorttext` 1.1.3 released.
+* 06/05/2019: `shorttext` 1.1.2 released.
+* 04/23/2019: `shorttext` 1.1.1 released.
+* 03/03/2019: `shorttext` 1.1.0 released.
+* 02/14/2019: `shorttext` 1.0.8 released.
+* 01/30/2019: `shorttext` 1.0.7 released.
+* 01/29/2019: `shorttext` 1.0.6 released.
+* 01/13/2019: `shorttext` 1.0.5 released.
+* 10/03/2018: `shorttext` 1.0.4 released.
+* 08/06/2018: `shorttext` 1.0.3 released.
+* 07/24/2018: `shorttext` 1.0.2 released.
+* 07/17/2018: `shorttext` 1.0.1 released.
+* 07/14/2018: `shorttext` 1.0.0 released.
+* 06/18/2018: `shorttext` 0.7.2 released.
+* 05/30/2018: `shorttext` 0.7.1 released.
+* 05/17/2018: `shorttext` 0.7.0 released.
+* 02/27/2018: `shorttext` 0.6.0 released.
+* 01/19/2018: `shorttext` 0.5.11 released.
+* 01/15/2018: `shorttext` 0.5.10 released.
+* 12/14/2017: `shorttext` 0.5.9 released.
+* 11/08/2017: `shorttext` 0.5.8 released.
+* 10/27/2017: `shorttext` 0.5.7 released.
+* 10/17/2017: `shorttext` 0.5.6 released.
+* 09/28/2017: `shorttext` 0.5.5 released.
+* 09/08/2017: `shorttext` 0.5.4 released.
+* 09/02/2017: end of GSoC project. ([Report](https://rare-technologies.com/chinmayas-gsoc-2017-summary-integration-with-sklearn-keras-and-implementing-fasttext/))
+* 08/22/2017: `shorttext` 0.5.1 released.
+* 07/28/2017: `shorttext` 0.4.1 released.
+* 07/26/2017: `shorttext` 0.4.0 released.
+* 06/16/2017: `shorttext` 0.3.8 released.
+* 06/12/2017: `shorttext` 0.3.7 released.
+* 06/02/2017: `shorttext` 0.3.6 released.
+* 05/30/2017: GSoC project ([Chinmaya Pancholi](https://rare-technologies.com/google-summer-of-code-2017-week-1-on-integrating-gensim-with-scikit-learn-and-keras/), with [gensim](https://radimrehurek.com/gensim/))
+* 05/16/2017: `shorttext` 0.3.5 released.
+* 04/27/2017: `shorttext` 0.3.4 released.
+* 04/19/2017: `shorttext` 0.3.3 released.
+* 03/28/2017: `shorttext` 0.3.2 released.
+* 03/14/2017: `shorttext` 0.3.1 released.
+* 02/23/2017: `shorttext` 0.2.1 released.
+* 12/21/2016: `shorttext` 0.2.0 released.
+* 11/25/2016: `shorttext` 0.1.2 released.
+* 11/21/2016: `shorttext` 0.1.1 released.
+
+## Possible Future Updates
+
+- [ ] Dividing components to other packages;
+- [ ] More available corpus.
+
+%package help
+Summary:	Development documents and examples for shorttext
+Provides:	python3-shorttext-doc
+%description help
+## Introduction
+
+This package `shorttext` is a Python package that facilitates supervised and unsupervised
+learning for short text categorization. Due to the sparseness of words and
+the lack of information carried in the short texts themselves, an intermediate
+representation of the texts and documents are needed before they are put into
+any classification algorithm. In this package, it facilitates various types
+of these representations, including topic modeling and word-embedding algorithms.
+
+Since release 1.5.2, it runs on Python 3.9.
+Since release 1.5.0, support for Python 3.6 was decommissioned.
+Since release 1.2.4, it runs on Python 3.8.
+Since release 1.2.3, support for Python 3.5 was decommissioned. 
+Since release 1.1.7, support for Python 2.7 was decommissioned.
+Since release 1.0.8, it runs on Python 3.7 with 'TensorFlow' being the backend for `keras`.
+Since release 1.0.7, it runs on Python 3.7 as well, but the backend for `keras` cannot be `TensorFlow`.
+Since release 1.0.0, `shorttext` runs on Python 2.7, 3.5, and 3.6.
+
+Characteristics:
+
+- example data provided (including subject keywords and NIH RePORT);
+- text preprocessing;
+- pre-trained word-embedding support;
+- `gensim` topic models (LDA, LSI, Random Projections) and autoencoder;
+- topic model representation supported for supervised learning using `scikit-learn`;
+- cosine distance classification;
+- neural network classification (including ConvNet, and C-LSTM);
+- maximum entropy classification;
+- metrics of phrases differences, including soft Jaccard score (using Damerau-Levenshtein distance), and Word Mover's distance (WMD);
+- character-level sequence-to-sequence (seq2seq) learning; 
+- spell correction;
+- API for word-embedding algorithm for one-time loading; and
+- Sentence encodings and similarities based on BERT.
+
+## Documentation
+
+Documentation and tutorials for `shorttext` can be found here: [http://shorttext.rtfd.io/](http://shorttext.rtfd.io/).
+
+See [tutorial](http://shorttext.readthedocs.io/en/latest/tutorial.html) for how to use the package, and [FAQ](https://shorttext.readthedocs.io/en/latest/faq.html).
+
+## Installation
+
+To install it, in a console, use `pip`.
+
+```
+>>> pip install -U shorttext
+```
+
+or, if you want the most recent development version on Github, type
+
+```
+>>> pip install -U git+https://github.com/stephenhky/PyShortTextCategorization@master
+```
+
+Developers are advised to make sure `Keras` >=2 be installed. Users are advised to install the backend `Tensorflow` (preferred) or `Theano` in advance. It is desirable if `Cython` has been previously installed too.
+
+See [installation guide](https://shorttext.readthedocs.io/en/latest/install.html) for more details.
+
+
+## Issues
+
+To report any issues, go to the [Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) tab of the Github page and start a thread.
+It is welcome for developers to submit pull requests on their own
+to fix any errors.
+
+## Contributors
+
+If you would like to contribute, feel free to submit the pull requests. You can talk to me in advance through e-mails or the
+[Issues](https://github.com/stephenhky/PyShortTextCategorization/issues) page.
+
+## Useful Links
+
+* Documentation: [http://shorttext.readthedocs.io](http://shorttext.readthedocs.io/)
+* Github: [https://github.com/stephenhky/PyShortTextCategorization](https://github.com/stephenhky/PyShortTextCategorization)
+* PyPI: [https://pypi.org/project/shorttext/](https://pypi.org/project/shorttext/)
+* "Package shorttext 1.0.0 released," [Medium](https://medium.com/@stephenhky/package-shorttext-1-0-0-released-ca3cb24d0ff3)
+* "Python Package for Short Text Mining", [WordPress](https://datawarrior.wordpress.com/2016/12/22/python-package-for-short-text-mining/)
+* "Document-Term Matrix: Text Mining in R and Python," [WordPress](https://datawarrior.wordpress.com/2018/01/22/document-term-matrix-text-mining-in-r-and-python/)
+* An [earlier version](https://github.com/stephenhky/PyShortTextCategorization/tree/b298d3ce7d06a9b4e0f7d32f27bab66064ba7afa) of this repository is a demonstration of the following blog post: [Short Text Categorization using Deep Neural Networks and Word-Embedding Models](https://datawarrior.wordpress.com/2016/10/12/short-text-categorization-using-deep-neural-networks-and-word-embedding-models/)
+
+
+## News
+
+* 09/23/2022: `shorttext` 1.5.8 released.
+* 09/22/2022: `shorttext` 1.5.7 released.
+* 08/29/2022: `shorttext` 1.5.6 released.
+* 05/28/2022: `shorttext` 1.5.5 released.
+* 12/15/2021: `shorttext` 1.5.4 released.
+* 07/11/2021: `shorttext` 1.5.3 released.
+* 07/06/2021: `shorttext` 1.5.2 released.
+* 04/10/2021: `shorttext` 1.5.1 released.
+* 04/09/2021: `shorttext` 1.5.0 released.
+* 02/11/2021: `shorttext` 1.4.8 released.
+* 01/11/2021: `shorttext` 1.4.7 released.
+* 01/03/2021: `shorttext` 1.4.6 released.
+* 12/28/2020: `shorttext` 1.4.5 released.
+* 12/24/2020: `shorttext` 1.4.4 released.
+* 11/10/2020: `shorttext` 1.4.3 released.
+* 10/18/2020: `shorttext` 1.4.2 released.
+* 09/23/2020: `shorttext` 1.4.1 released.
+* 09/02/2020: `shorttext` 1.4.0 released.
+* 07/23/2020: `shorttext` 1.3.0 released.
+* 06/05/2020: `shorttext` 1.2.6 released.
+* 05/20/2020: `shorttext` 1.2.5 released.
+* 05/13/2020: `shorttext` 1.2.4 released.
+* 04/28/2020: `shorttext` 1.2.3 released.
+* 04/07/2020: `shorttext` 1.2.2 released.
+* 03/23/2020: `shorttext` 1.2.1 released.
+* 03/21/2020: `shorttext` 1.2.0 released.
+* 12/01/2019: `shorttext` 1.1.6 released.
+* 09/24/2019: `shorttext` 1.1.5 released.
+* 07/20/2019: `shorttext` 1.1.4 released.
+* 07/07/2019: `shorttext` 1.1.3 released.
+* 06/05/2019: `shorttext` 1.1.2 released.
+* 04/23/2019: `shorttext` 1.1.1 released.
+* 03/03/2019: `shorttext` 1.1.0 released.
+* 02/14/2019: `shorttext` 1.0.8 released.
+* 01/30/2019: `shorttext` 1.0.7 released.
+* 01/29/2019: `shorttext` 1.0.6 released.
+* 01/13/2019: `shorttext` 1.0.5 released.
+* 10/03/2018: `shorttext` 1.0.4 released.
+* 08/06/2018: `shorttext` 1.0.3 released.
+* 07/24/2018: `shorttext` 1.0.2 released.
+* 07/17/2018: `shorttext` 1.0.1 released.
+* 07/14/2018: `shorttext` 1.0.0 released.
+* 06/18/2018: `shorttext` 0.7.2 released.
+* 05/30/2018: `shorttext` 0.7.1 released.
+* 05/17/2018: `shorttext` 0.7.0 released.
+* 02/27/2018: `shorttext` 0.6.0 released.
+* 01/19/2018: `shorttext` 0.5.11 released.
+* 01/15/2018: `shorttext` 0.5.10 released.
+* 12/14/2017: `shorttext` 0.5.9 released.
+* 11/08/2017: `shorttext` 0.5.8 released.
+* 10/27/2017: `shorttext` 0.5.7 released.
+* 10/17/2017: `shorttext` 0.5.6 released.
+* 09/28/2017: `shorttext` 0.5.5 released.
+* 09/08/2017: `shorttext` 0.5.4 released.
+* 09/02/2017: end of GSoC project. ([Report](https://rare-technologies.com/chinmayas-gsoc-2017-summary-integration-with-sklearn-keras-and-implementing-fasttext/))
+* 08/22/2017: `shorttext` 0.5.1 released.
+* 07/28/2017: `shorttext` 0.4.1 released.
+* 07/26/2017: `shorttext` 0.4.0 released.
+* 06/16/2017: `shorttext` 0.3.8 released.
+* 06/12/2017: `shorttext` 0.3.7 released.
+* 06/02/2017: `shorttext` 0.3.6 released.
+* 05/30/2017: GSoC project ([Chinmaya Pancholi](https://rare-technologies.com/google-summer-of-code-2017-week-1-on-integrating-gensim-with-scikit-learn-and-keras/), with [gensim](https://radimrehurek.com/gensim/))
+* 05/16/2017: `shorttext` 0.3.5 released.
+* 04/27/2017: `shorttext` 0.3.4 released.
+* 04/19/2017: `shorttext` 0.3.3 released.
+* 03/28/2017: `shorttext` 0.3.2 released.
+* 03/14/2017: `shorttext` 0.3.1 released.
+* 02/23/2017: `shorttext` 0.2.1 released.
+* 12/21/2016: `shorttext` 0.2.0 released.
+* 11/25/2016: `shorttext` 0.1.2 released.
+* 11/21/2016: `shorttext` 0.1.1 released.
+
+## Possible Future Updates
+
+- [ ] Dividing components to other packages;
+- [ ] More available corpus.
+
+%prep
+%autosetup -n shorttext-1.5.8
+
+%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-shorttext -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.8-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..3457b02
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c400eb587ede96b3b47bde16787c6196  shorttext-1.5.8.tar.gz