cor

wordvec.ipynb

@@ -255,6 +255,15 @@
    "source": [
     "print(wv.doesnt_match(['wood', 'oak', 'tree', 'iron', 'leaf']))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(wv.most_similar(positive=['The largest country is']))"
+   ]
   }
  ],
  "metadata": {

wordvec.py

@@ -15,4 +15,6 @@ vec_man = wv['man']
 vec_woman = wv['woman']
 
 result = wv.most_similar(positive=(vec_father - vec_man + vec_woman), topn=1)
-print(result)
+print(result)
+
+print(wv.most_similar(positive=['The largest country is']))