updated changelog and bumped version to 0.2.5

chartbeat-labs · Jul 15, 2016 · 021aa14 · 021aa14
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diff --git a/CHANGELOG.rst b/CHANGELOG.rst
@@ -1,6 +1,15 @@
 Changelog
 =========
 
+0.2.5 (2016-07-14)
+------------------
+
+Bugfixes:
+
+- Added (missing) `pyemd` and `python-levenshtein` dependencies to requirements and setup files
+- Fixed bug in `data.load_depechemood()` arising from the Py2 `csv` module's inability to take unicode as input (thanks to @robclewley, issue #25)
+
+
 0.2.4 (2016-07-14)
 ------------------
 

diff --git a/README.rst b/README.rst
@@ -2,7 +2,7 @@
 textacy: higher-level NLP built on Spacy
 ========================================
 
-``textacy`` is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance `Spacy <https://spacy.io/>`_ library. With the basics --- tokenization, part-of-speech tagging, parsing --- offloaded to another library, ``textacy`` focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.
+``textacy`` is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance `spaCy <https://spacy.io/>`_ library. With the basics --- tokenization, part-of-speech tagging, parsing --- offloaded to another library, ``textacy`` focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.
 
 
 Features

diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -67,7 +67,7 @@
 # The short X.Y version.
 version = '0.2'
 # The full version, including alpha/beta/rc tags.
-release = '0.2.4'
+release = '0.2.5'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -2,7 +2,7 @@
 textacy: higher-level NLP built on Spacy
 ========================================
 
-``textacy`` is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance `Spacy <https://spacy.io/>`_ library. With the basics --- tokenization, part-of-speech tagging, parsing --- offloaded to another library, ``textacy`` focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.
+``textacy`` is a Python library for performing higher-level natural language processing (NLP) tasks, built on the high-performance `spaCy <https://spacy.io/>`_ library. With the basics --- tokenization, part-of-speech tagging, parsing --- offloaded to another library, ``textacy`` focuses on tasks facilitated by the availability of tokenized, POS-tagged, and parsed text: keyterm extraction, readability statistics, emotional valence analysis, quotation attribution, and more.
 
 
 Features

diff --git a/setup.py b/setup.py
@@ -11,7 +11,7 @@ def read_file(fname, encoding='utf-8'):
 
 setup(
     name='textacy',
-    version='0.2.4',
+    version='0.2.5',
     description='Higher-level text processing, built on Spacy',
     long_description=read_file('README.rst'),
 

diff --git a/textacy/__init__.py b/textacy/__init__.py
@@ -3,7 +3,7 @@
 import logging
 import os
 
-__version__ = '0.2.4'
+__version__ = '0.2.5'
 __data_dir__ = os.path.join(os.path.dirname(__file__), 'resources')
 
 # subpackages