INNER CODE UNIT · Python
LemNormalize
parulnith/Building-a-Simple-Chatbot-in-Python-using-NLTK · chatbot.py:37
def LemNormalize(text):
return LemTokens(nltk.word_tokenize(text.lower().translate(remove_punct_dict)))
# Keyword Matching
GREETING_INPUTS = ("hello", "hi", "greetings", "sup", "what's up","hey",)
GREETING_RESPONSES = ["hi", "hey", "*nods*", "hi there", "hello", "I am glad! You are talking to me"]
def greeting(sentence):
"""If user's input is a greeting, return a greeting response"""
for word in sentence.split():
if word.lower() in GREETING_INPUTS:
return random.choice(GREETING_RESPONSES)
# Generating response
def response(user_response):
robo_response=''