diff --git a/README.md b/README.md
index 1f55999..695e76d 100644
--- a/README.md
+++ b/README.md
@@ -24,25 +24,13 @@ Let's check if the closest words make sense.
 
 ```bash
 $ python3 test_word_vectors.py --word IRA
-Roth
-SEP
-IRAs
-401
-retirement
+roth, iras, sep, 401, contribute
 
 $ python3 test_word_vectors.py --word option
-call
-put
-options
-exercise
-underlying
+call, options, put, exercise, underlying
 
 $ python3 test_word_vectors.py --word stock
-shares
-market
-stocks
-share
-price
+shares, share, market, stocks, price
 ```
 
 ## Notes
diff --git a/test_word_vectors.py b/test_word_vectors.py
index 05f77a9..a875c18 100644
--- a/test_word_vectors.py
+++ b/test_word_vectors.py
@@ -7,6 +7,8 @@
 
 
 def print_nearest_words(args):
+    word = args.word.lower()
+
     # Load the word vectors
     embeddings_index = {}
     f = open(args.vectors)
@@ -18,7 +20,7 @@ def print_nearest_words(args):
     f.close()
 
     w_v = np.zeros(50)
-    for w in args.word.strip().split():
+    for w in word.strip().split():
         if w not in embeddings_index.keys():
             continue
 
@@ -27,7 +29,7 @@ def print_nearest_words(args):
     # Get the similarity scores
     score_dict = {}
     for w in embeddings_index.keys():
-        if args.word == w:
+        if word == w:
             continue
 
         score = cosine_similarity(w_v.reshape(1, -1), embeddings_index[w].reshape(1, -1))[0][0]