from nltk.stem import WordNetLemmatizer
import spacy

# lem = WordNetLemmatizer()

# print(lem.lemmatize('running', 'v'))
# print(lem.lemmatize('sleeping', 'v'))
# print(lem.lemmatize('machines', 'n'))
# print(lem.lemmatize('machines'))

# nlp = spacy.load('en_core_web_sm')
# text = """I am working on it"""

# text = nlp(text)
# text = [word.lemma_ for word in text]
# print(text)
