Merge pull request #1426 from aneesh-joshi/develop

Fixed incorrect link in notebook
piskvorky · Jun 21, 2017 · a2b6b32 · a2b6b32
2 parents b4da23c + 16998b1
commit a2b6b32
Showing 1 changed file with 11 additions and 23 deletions.
diff --git a/gensim Quick Start.ipynb b/gensim Quick Start.ipynb
@@ -92,7 +92,7 @@
     "\n",
     "### Corpus\n",
     "\n",
-    "A *corpus* is a collection of digital documents. This collection is the input to `gensim` from which it will infer the structure of the documents, their topics, etc. The latent structure inferred from the corpus can later be used to assign topics to new documents which were not present in the training corpus. For this reason, we also refer to this collection as the *training corpus*. No human intervention (such as tagging the documents by hand) is required - the topic classification is [unsupervised](https://en.wikipedia.org/wiki/Unsupervised_learning.html).\n",
+    "A *corpus* is a collection of digital documents. This collection is the input to `gensim` from which it will infer the structure of the documents, their topics, etc. The latent structure inferred from the corpus can later be used to assign topics to new documents which were not present in the training corpus. For this reason, we also refer to this collection as the *training corpus*. No human intervention (such as tagging the documents by hand) is required - the topic classification is [unsupervised](https://en.wikipedia.org/wiki/Unsupervised_learning).\n",
     "\n",
     "For our corpus, we'll use a list of 9 strings, each consisting of only a single sentence."
    ]
@@ -128,9 +128,7 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -180,9 +178,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -220,9 +216,7 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -246,9 +240,7 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -286,9 +278,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -332,9 +322,7 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -379,9 +367,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [Root]",
+   "display_name": "Python 2",
    "language": "python",
-   "name": "Python [Root]"
+   "name": "python2"
   },
   "language_info": {
    "codemirror_mode": {
@@ -393,9 +381,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.1"
+   "version": "3.6.1"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }