Feature extraction and vectorizer three sentences

@@ -47,8 +47,8 @@ if __name__ == "__main__":
                       help="Vectorizer: b=binary, f=frequency, t=tf-idf", metavar="CHAR",
                       choices=('b', 'f', 't'), default='b')
     parser.add_argument("--feature", dest="feature", required=True,
-                      help="Feature: word, lemma, pos", metavar="TEXT",
-                      choices=('word', 'lemma', 'pos', 'ner'), default='b')
+                      help="Feature: word, lemma, pos, ner", metavar="TEXT",
+                      choices=('word', 'lemma', 'pos', 'ner'), default='word')
 
     args = parser.parse_args()