stopwords remover in clean text

utils.py

@@ -1,5 +1,6 @@
 import re
 import numpy as np
+from nltk.corpus import stopwords 
 
 # clean up given string
 def clean_text(raw): 
@@ -14,7 +15,11 @@ def clean_text(raw):
     raw = re.sub(r'&', "and", raw)
     # remove non valid characters
     raw = re.sub('[^A-Za-z0-9#@ ]+', "", raw)
-    return(raw)
+    words = raw.split()  
+
+    stops = set(stopwords.words("english"))
+    words = [w for w in words if not w in stops]
+    return( " ".join(words))
 
 # create onehot representation of the label
 def get_onehot(arr, num_class):