added google analytics to gensim website

docs/_sources/dist_lsi.txt

@@ -65,7 +65,7 @@ our choice is incidental) and try::
     >>> corpus = corpora.MmCorpus('/tmp/deerwester.mm') # load a corpus of nine documents, from the Tutorials
     >>> id2word = corpora.Dictionary.load('/tmp/deerwester.dict')
 
-    >>> lsi = models.LsiModel(corpus, id2word=id2word, num_topics=200, chunks=1, distributed=True) # run distributed LSA on nine documents
+    >>> lsi = models.LsiModel(corpus, id2word=id2word, num_topics=200, chunksize=1, distributed=True) # run distributed LSA on nine documents
 
 This uses the corpus and feature-token mapping created in the :doc:`tut1` tutorial.
 If you look at the log in your Python session, you should see a line similar to::
@@ -81,15 +81,15 @@ To check the LSA results, let's print the first two latent topics::
     topic #1(2.542): -0.623*"graph" + -0.490*"trees" + -0.451*"minors" + -0.274*"survey" + 0.167*"system"
 
 Success! But a corpus of nine documents is no challenge for our powerful cluster...
-In fact, we had to lower the job size (`chunks` parameter above) to a single document
+In fact, we had to lower the job size (`chunksize` parameter above) to a single document
 at a time, otherwise all documents would be processed by a single worker all at once.
 
 So let's run LSA on **one million documents** instead::
 
     >>> # inflate the corpus to 1M documents, by repeating its documents over&over
     >>> corpus1m = utils.RepeatCorpus(corpus, 1000000)
     >>> # run distributed LSA on 1 million documents
-    >>> lsi1m = models.LsiModel(corpus1m, id2word=id2word, num_topics=200, chunks=10000, distributed=True)
+    >>> lsi1m = models.LsiModel(corpus1m, id2word=id2word, num_topics=200, chunksize=10000, distributed=True)
 
     >>> lsi1m.printTopics(num_topics=2, num_words=5)
     topic #0(1113.628): 0.644*"system" + 0.404*"user" + 0.301*"eps" + 0.265*"time" + 0.265*"response"
@@ -133,7 +133,7 @@ the corpus iterator with::
 Now we're ready to run distributed LSA on the English Wikipedia::
 
     >>> # extract 400 LSI topics, using a cluster of nodes
-    >>> lsi = gensim.models.lsimodel.LsiModel(corpus=mm, id2word=id2word, num_topics=400, chunks=20000, distributed=True)
+    >>> lsi = gensim.models.lsimodel.LsiModel(corpus=mm, id2word=id2word, num_topics=400, chunksize=20000, distributed=True)
 
     >>> # print the most contributing words (both positively and negatively) for each of the first ten topics
     >>> lsi.print_topics(10)

docs/_sources/index.txt

@@ -8,7 +8,7 @@ Gensim -- Vector Space Modelling for Humans
 
 .. admonition:: What's new?
 
-   * 19/06/2011: version 0.8.0 is out! Faster & better: :doc:`CHANGELOG<changes_080>`
+   * 19/06/2011: version 0.8.0 is out! Faster & better: :doc:`changes walkthrough<changes_080>`
    * 12/02/2011: faster and leaner **Latent Semantic Indexing (LSI)** and **Latent Dirichlet Allocation (LDA)**:
 
      * :doc:`Processing the English Wikipedia <wiki>`, 3.2 million documents (`NIPS workshop paper <http://arxiv.org/abs/1102.5597>`_)
@@ -18,7 +18,7 @@ For an **overview** of what you can (or cannot) do with `gensim`, go to the :doc
 
 For **installation** and **troubleshooting**, see the :doc:`installation <install>` page and the `gensim discussion group <http://groups.google.com/group/gensim/>`_.
 
-For **examples** on how to use it, try the :doc:`tutorials <tutorial>`.
+For **examples** on how to convert text to vectors and work with the result, try the :doc:`tutorials <tutorial>`.
 
 When **citing** `gensim` in academic papers, please use
 `this BibTeX entry <http://nlp.fi.muni.cz/projekty/gensim/bibtex_gensim.bib>`_.

docs/_sources/wiki.txt

@@ -109,7 +109,7 @@ every 10,000 articles, this means we will have done 300 updates in one pass, qui
 enough to have a very accurate topics estimate::
 
     >>> # extract 100 LDA topics, using 1 pass and updating once every 1 chunk (10,000 documents)
-    >>> lda = gensim.models.ldamodel.LdaModel(corpus=mm, id2word=id2word, num_topics=100, update_every=1, chunks=10000, passes=1)
+    >>> lda = gensim.models.ldamodel.LdaModel(corpus=mm, id2word=id2word, num_topics=100, update_every=1, chunksize=10000, passes=1)
     using serial LDA version on this node
     running online LDA training, 100 topics, 1 passes over the supplied corpus of 3146817 documets, updating model once every 10000 documents
     ..

docs/apiref.html

@@ -31,6 +31,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
+
+  (function() {
+    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
+    ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
+    var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
+  })();
+
+</script>
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 <!--
@@ -158,7 +171,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/changes_080.html

@@ -29,6 +29,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
+
+  (function() {
+    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
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@@ -179,7 +192,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
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   </body>
 </html>

docs/corpora/bleicorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
+
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@@ -209,7 +222,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/corpora.html

@@ -29,6 +29,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
+
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+    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
+    ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
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@@ -113,7 +126,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/dictionary.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
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+    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
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 <!--
@@ -240,7 +253,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/indexedcorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
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+    var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
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@@ -221,7 +234,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/lowcorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
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@@ -223,7 +236,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/mmcorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
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+  _gaq.push(['_trackPageview']);
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@@ -197,7 +210,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
   </body>
 </html>

docs/corpora/svmlightcorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
+  _gaq.push(['_trackPageview']);
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@@ -214,7 +227,7 @@ <h3>Navigation</h3>
 
     <div class="footer">
         &copy; Copyright 2011, Radim Řehůřek &lt;radimrehurek(at)seznam.cz&gt;.
-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
     </div>
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 </html>

docs/corpora/textcorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
+  _gaq.push(['_setAccount', 'UA-24066335-1']);
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@@ -213,7 +226,7 @@ <h3>Navigation</h3>
 
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-      Last updated on Jun 20, 2011.
+      Last updated on Jun 22, 2011.
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 </html>

docs/corpora/wikicorpus.html

@@ -32,6 +32,19 @@
 <meta property="og:title" content="#gensim" />
 <meta property="og:description" content="Efficient topic modelling in Python" />
 
+<script type="text/javascript">
+
+  var _gaq = _gaq || [];
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     <div class="footer">
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+      Last updated on Jun 22, 2011.
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 </html>