update CHANGELOG

* change order of testimonials

CHANGELOG.txt

@@ -6,6 +6,7 @@ Changes
 * python3 port by Parikshit Samant: https://github.com/samantp/gensimPy3
 * massive optimizations to word2vec (cython, BLAS, multithreading): ~20x-300x speedup
 * new word2vec functionality (thx to Ghassen Hamrouni, PR #124)
+* new CSV corpus class (thx to Zygmunt Zając)
 * corpus serialization checks to prevent overwriting (by Ian Langmore, PR #125)
 * add context manager support for older Python<=2.6 for gzip and bz2
 * added unittests for word2vec

docs/src/_templates/indexcontent.html

@@ -124,15 +124,15 @@ <h3 class="h3gensim">Who is using Gensim?<div class="more-info">Doing something
 
         <div class="center">
           <ul id="slider_testimonials" class="reference">
+            <li><div class="reference2 testimonial">
+              “Gensim hits the sweetest spot of being a simple yet powerful way to access some incredibly complex NLP goodness.” <span class="testimonial-author">Alan J. Salmoni, <a href="http://roistr.com/">Roistr.com</a></span>
+            </div></li>
             <li><div class="reference1 testimonial">
               “I used gensim at Ghent university. I found it easy to build prototypes with various models, extend it with additional features and gain empirical insights quickly. It's a reliable library that can be used beyond prototyping too.” <span class="testimonial-author"><a href="http://dieter.plaetinck.be/">Dieter Plaetinck</a>, <a href="http://www.ibcn.intec.ugent.be/">IBCN group</a></span>
             </div></li>
             <li><div class="reference3 testimonial">
               “We used gensim in several text mining projects at Sports Authority. The data were from free-form text fields in customer surveys, as well as social media sources. Having gensim significantly sped our time to development, and it is still my go-to package for topic modeling with large retail data sets.” <span class="testimonial-author">Josh Hemann, <a href="http://www.sportsauthority.com/home/index.jsp">Sports Authority</a></span>
             </div></li>
-            <li><div class="reference2 testimonial">
-              “Gensim hits the sweetest spot of being a simple yet powerful way to access some incredibly complex NLP goodness.” <span class="testimonial-author">Alan J. Salmoni, <a href="http://roistr.com/">Roistr.com</a></span>
-            </div></li>
             <li><div class="reference4 testimonial">
               “Semantic analysis is a hot topic in online marketing, but there are few products on the market that are truly powerful.
 Gensim is undoubtedly one of the best frameworks that efficiently implement algorithms for statistical analysis.