Fix typos in Author-topic tutorial (#1102)

no all on jupyter
piskvorky · Jan 22, 2017 · d5ce43b · d5ce43b
1 parent 024b7c8
commit d5ce43b
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/docs/notebooks/atmodel_tutorial.ipynb b/docs/notebooks/atmodel_tutorial.ipynb
@@ -23,7 +23,7 @@
     ">\n",
     "> To run this tutorial on your own, install Jupyter, Gensim, SpaCy, Scikit-Learn, Bokeh and Pandas, e.g. using pip:\n",
     ">\n",
-    "> `pip install jupyter[all] gensim spacy sklearn bokeh pandas`\n",
+    "> `pip install jupyter gensim spacy sklearn bokeh pandas`\n",
     ">\n",
     "> Note that you need to download some data for SpaCy using `python -m spacy.en.download`.\n",
     ">\n",
@@ -656,7 +656,7 @@
    "source": [
     "These topics are by no means perfect. They have problems such as *chained topics*, *intruded words*, *random topics*, and *unbalanced topics* (see [Mimno and co-authors 2011](https://people.cs.umass.edu/~wallach/publications/mimno11optimizing.pdf)). They will do for the purposes of this tutorial, however.\n",
     "\n",
-    "Below, we use the `model[name]` syntax to retrieve the topic distribution for an author. Each topic has a probability of being expressed given the particalar author, but only the ones above a certain threshold are shown."
+    "Below, we use the `model[name]` syntax to retrieve the topic distribution for an author. Each topic has a probability of being expressed given the particular author, but only the ones above a certain threshold are shown."
    ]
   },
   {