Delete nltk_utils.py

nltk_utils.py

@@ -1,27 +0,0 @@
-import nltk
-import numpy as np
-#nltk.download('all')
-from nltk.stem.porter import PorterStemmer
-stemmer = PorterStemmer()
-def tokenize(sentence):
-    """
-        split sentence into array of words/tokens
-        a token can be a word or punctuation character, or number
-    """
-    return nltk.word_tokenize(sentence)
-
-def stem(word):
-    
-    return stemmer.stem(word.lower())
-
-def bag_of_words(tokenized_sentence, all_words):
-
-    tokenized_sentence = [stem(w) for w in tokenized_sentence]
-
-    bag = np.zeros(len(all_words), dtype=np.float32)
-    for idx, w in enumerate(all_words):
-        if w in tokenized_sentence:
-            bag[idx] = 1.0
-    return bag
-
-