[med-svn] [r-cran-lexrankr] 04/04: Enhance long description

[Andreas Tille]

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tille pushed a commit to branch master
in repository r-cran-lexrankr.

commit fc594475f124683e547f7e0d1b2f4ace3748c8ef
Author: Andreas Tille <tille at debian.org>
Date:   Tue Oct 10 18:59:15 2017 +0200

    Enhance long description
---
 debian/changelog | 1 +
 debian/control   | 4 ++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index 4e32628..efd5c0c 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -3,6 +3,7 @@ r-cran-lexrankr (0.4.1-1) UNRELEASED; urgency=medium
   * New upstream version
   * Moved packaging from SVN to Git
   * Standards-Version: 4.1.1
+  * Enhance long description
 
  -- Andreas Tille <tille at debian.org>  Tue, 10 Oct 2017 17:23:33 +0200
 
diff --git a/debian/control b/debian/control
index 542366c..ef28212 100644
--- a/debian/control
+++ b/debian/control
@@ -29,8 +29,8 @@ Suggests: ${R:Suggests}
 Description: extractive summarization of text with the LexRank algorithm
  An R implementation of the LexRank algorithm implementing stochastic
  graph-based method for computing relative importance of textual units
- for Natural Language Processing. We test the technique on the problem
- of Text Summarization (TS). Extractive TS relies on the concept of
+ for Natural Language Processing. The technique on the problem
+ of Text Summarization (TS) is tested. Extractive TS relies on the concept of
  sentence salience to identify the most important sentences in a
  document or set of documents. Salience is typically defined in terms of
  the presence of particular important words or in terms of similarity to

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