abstract revised for HashedDocDotFeatures.ipynb

doc/ipython-notebooks/classification/HashedDocDotFeatures.ipynb

@@ -1,6 +1,7 @@
 {
  "metadata": {
-  "name": "HashedDocDotFeatures"
+  "name": "",
+  "signature": "sha256:f762940b218f6dfabf14c9cdcf32a3b1ab51a413c765e4bb8bc245471aef354f"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -28,7 +29,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "This notebook is intended to introduce the user to document classification and help him overcome the difficulties encountered in large collections. In order to achieve that we will explain the idea behind the hashing trick and we will show, through examples, how easy it is to use it with Shogun!"
+      "This notebook is about <a href=\"http://en.wikipedia.org/wiki/Document_classification\">Document classification</a> in shogun. After providing a semi-formal introduction to the <a href=\"http://en.wikipedia.org/wiki/Bag-of-words_model\">Bag of Words</a> model and its limitations, we illustrate the <a href=\"http://en.wikipedia.org/wiki/Feature_hashing\">hashing trick</a>. This is consolidated by performing experiments on the largescale webspam dataset."
      ]
     },
     {
@@ -460,4 +461,4 @@
    "metadata": {}
   }
  ]
-}
+}