test.py

from nltk import word_tokenize, pos_tag

sentence = """
thank you for crying in the customer service my name is b glad to assist you how can help you to find yes my name is and i'm i have a beer tell and i i'm i hadn't seen the ladder on that said that on i get my direct deposit so that it sounds so i try to call social security to have me i'm all yes ma'am i'm here all okay i i've tried to call social security traps and yeah i'm insurrection pocket moves to a different house and a wall on the routing number and your cat on and that's how the number of the account which
"""

tokens = word_tokenize(sentence)

tokens=[token.lower() for token in tokens if token.isalpha()]

print("tokens : ", tokens)

tags = pos_tag(tokens)

nouns = []
verbs = []

for word, tag in tags:
    if tag == "NN":
        nouns.append(word)
    elif tag == "VBP":
        verbs.append(word)

print("nouns : ", nouns)
print("verbs : ", verbs)