diff --git a/2-svd-nmf-topic-modeling.ipynb b/2-svd-nmf-topic-modeling.ipynb
index f9d50bf..eec8da3 100644
--- a/2-svd-nmf-topic-modeling.ipynb
+++ b/2-svd-nmf-topic-modeling.ipynb
@@ -549,7 +549,7 @@
     "\n",
     "You will then need to download the English model:\n",
     "```\n",
-    "spacy -m download en_core_web_sm\n",
+    "spacy download en_core_web_sm\n",
     "```"
    ]
   },
@@ -564,26 +564,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
+    "nlp = spacy.load(\"en_core_web_sm\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Note in the video we used\n",
+    "```\n",
     "from spacy.lemmatizer import Lemmatizer\n",
-    "lemmatizer = Lemmatizer()"
+    "lemmatizer = Lemmatizer()\n",
+    "```\n",
+    "which creates an *empty* lemmatizer. \n",
+    "\n",
+    "This has been replaced with an English specific lemmatizer."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "lemmatizer = nlp.Defaults.create_lemmatizer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['feet', 'foot', 'foots', 'footing']"
+       "['foot', 'foot', 'foot', 'foot']"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -606,15 +628,6 @@
     "Stop words vary from library to library"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "nlp = spacy.load(\"en_core_web_sm\")"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 13,