diff --git a/python-joblib.changes b/python-joblib.changes
index 2097650..afa39a5 100644
--- a/python-joblib.changes
+++ b/python-joblib.changes
@@ -1,3 +1,8 @@
+-------------------------------------------------------------------
+Thu Jan 11 22:12:57 UTC 2018 - jengelh@inai.de
+
+- Ensure neutrality of description.
+
 -------------------------------------------------------------------
 Mon May 22 16:35:59 UTC 2017 - toddrme2178@gmail.com
 
diff --git a/python-joblib.spec b/python-joblib.spec
index 3342b16..fe456f7 100644
--- a/python-joblib.spec
+++ b/python-joblib.spec
@@ -1,7 +1,7 @@
 #
 # spec file for package python-joblib
 #
-# Copyright (c) 2017 SUSE LINUX Products GmbH, Nuernberg, Germany.
+# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -27,10 +27,10 @@ License:        BSD-3-Clause
 Group:          Development/Languages/Python
 Url:            https://github.com/joblib/joblib
 Source:         https://files.pythonhosted.org/packages/source/j/joblib/joblib-%{version}.tar.gz
-BuildRequires:  fdupes
-BuildRequires:  python-rpm-macros
 BuildRequires:  %{python_module devel}
 BuildRequires:  %{python_module setuptools}
+BuildRequires:  fdupes
+BuildRequires:  python-rpm-macros
 %if %{with test}
 BuildRequires:  %{python_module numpy}
 BuildRequires:  %{python_module pytest}
@@ -41,18 +41,17 @@ BuildArch:      noarch
 %python_subpackages
 
 %description
-Joblib is a set of tools to provide **lightweight pipelining in
-Python**. In particular, joblib offers:
+Joblib is a set of tools to provide lightweight pipelining in
+Python. In particular, joblib offers:
 
   1. transparent disk-caching of the output values and lazy re-evaluation
      (memoize pattern)
 
-  2. easy simple parallel computing
+  2. parallel computing
 
   3. logging and tracing of the execution
 
-Joblib is optimized to be **fast** and **robust** in particular on large
-data and has specific optimizations for `numpy` arrays.
+Joblib can handle large data and has specific optimizations for `numpy` arrays.
 
 
 %prep