release 1.0.1

Author: stephenhky

README.md

@@ -2,8 +2,6 @@
 
 [![Build Status](https://travis-ci.org/stephenhky/PyShortTextCategorization.svg?branch=master)](https://travis-ci.org/stephenhky/PyShortTextCategorization)
 
-[![Documentation Status](//readthedocs.org/projects/shorttext/badge/?version=latest)](https://shorttext.readthedocs.io/en/latest/?badge=latest)
-
 ## Introduction
 
 This package `shorttext` is a Python package that facilitates supervised and unsupervised
@@ -69,13 +67,14 @@ If you would like to contribute, feel free to submit the pull requests. You can
 * 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/)
-* "Short Text Mining using Advanced Keras Layers and Maxent: shorttext 0.4.1," [WordPress](https://datawarrior.wordpress.com/2017/07/30/short-text-mining-using-advanced-keras-layers-and-maxent-shorttext-0-4-1/)
+* "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
 
+* 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.
@@ -110,4 +109,5 @@ If you would like to contribute, feel free to submit the pull requests. You can
 ## Possible Future Updates
 
 - [ ] Jupyter notebooks as tutorials;
+- [ ] Compatibility with Python 3.7;
 - [ ] More available corpus.

apidocs/source/conf.py

@@ -60,7 +60,7 @@
 # The short X.Y version.
 version = '1.0'
 # The full version, including alpha/beta/rc tags.
-release = '1.0.0'
+release = '1.0.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/conf.py

@@ -58,7 +58,7 @@
 # The short X.Y version.
 version = u'1.0'
 # The full version, including alpha/beta/rc tags.
-release = u'1.0.0'
+release = u'1.0.1'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/links.rst

@@ -66,6 +66,9 @@ Blog Entries
 <https://datawarrior.wordpress.com/2017/09/08/release-of-shorttext-0-5-4/>`_]
 
 "Document-Term Matrix: Text Mining in R and Python," *Everything About Data Analytics*, WordPress (2018). [`WordPress
-https://datawarrior.wordpress.com/2018/01/22/document-term-matrix-text-mining-in-r-and-python/`_]
+<https://datawarrior.wordpress.com/2018/01/22/document-term-matrix-text-mining-in-r-and-python/>`_]
+
+"Package shorttext 1.0.0 Released," Medium (2018). [`Medium
+<https://medium.com/@stephenhky/package-shorttext-1-0-0-released-ca3cb24d0ff3>`_]
 
 Home: :doc:`index`

docs/news.rst

@@ -1,6 +1,7 @@
 News
 ====
 
+* 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.
@@ -36,6 +37,11 @@ News
 What's New
 ----------
 
+Release 1.0.1 (July 14, 2018)
+-----------------------------
+
+* Minor bugs fixed.
+
 Release 1.0.0 (July 14, 2018)
 -----------------------------
 

setup.py

@@ -9,25 +9,26 @@
 except ImportError:
     ext_modules = [Extension('_dldist', 'shorttext/metrics/dynprog/dldist.c'),
                    Extension('_lcp', 'shorttext/metrics/dynprog/lcp.c'),
-                   Extension('_edits1_comb', 'shorttext/spell/edits_comb.c')]
+                   Extension('_edits1_comb', 'shorttext/spell/edits1_comb.c')]
 
 def readme():
     with open('README.md') as f:
         return f.read()
 
 setup(name='shorttext',
-      version="1.0.0",
+      version="1.0.1",
       description="Short Text Mining",
       long_description="Short text mining algorithms, involving word-embedding models, topic models, edit distances, Word Mover's distance, deep learning etc.",
       classifiers=[
           "Topic :: Scientific/Engineering :: Artificial Intelligence",
-          "Natural Language :: English",
           "Topic :: Scientific/Engineering :: Mathematics",
           "Programming Language :: Python :: 2.7",
           "Programming Language :: Python :: 3.5",
           "Programming Language :: Python :: 3.6",
           "Programming Language :: Cython",
           "Programming Language :: C",
+          "Natural Language :: English",
+          "Topic :: Text Processing",
           "License :: OSI Approved :: MIT License",
       ],
       keywords="shorttext natural language processing text mining",