from nltk.tokenize import word_tokenize  
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk.stem.porter import *
stemmer = PorterStemmer()
tokens = word_tokenize(sentence)
 
#Stemming
stemed_tokens = []
for word in tokens:
    stemed_tokens.append(stemmer.stem(word))
 
#Lemmatization
lemmatizer = WordNetLemmatizer()
nltk_lemma_list = []
for word in stemed_tokens:
    nltk_lemma_list.append(lemmatizer.lemmatize(word))
 
print("Stemming + Lemmatization:")
print(nltk_lemma_list)

"""
Stemming + Lemmatization:
['follow', 'the', 'debut', 'of', 'bitcoin', 'futur', 
'etf', 'in', 'the', 'unit', 'state', ',', 'the', 'crypto', 
'market', 'is', 'abuzz', 'with', 'talk', 'of', 'an', 'impend', 
'ether', 'etf.speak', 'on', 'a', 'show', 'on', 'cnbc', ',', 'michael', 
'sonnenshein', ',', 'ceo', 'of', 'grayscal', '--', 'an', 'asset', 'manag',
'compani', 'with', '$', '52', 'billion', 'in', 'asset', 'under', 'manag',
'--', 'say', 'it', 'is', 'possibl', '.', 'He', 'said', 'it', "'stand", 'to', 
'reason', "'", 'the', 'secur', 'and', 'exchang', 'committe', '(', 'sec', ')', 
'will', 'proactiv', 'consid', 'bring', 'ethereum', 'etf', 'and', 'other', 'similar', 
'product', 'in', 'the', 'US', 'market.canada', 'alreadi', 'ha', 'bitcoin', ',', '
ethereum', 'etfswhil', 'US', 'regul', 'have', 'allow', 'bitcoin', 'futur', 'etf', 'to', 
'be', 'trade', 'on', 'the', 'exchang', ',', 'canada', 'ha', 'allow', 'both', 'bitcoin', 
'and', 'ethereum', 'etf', '.']
"""