NLP, Python, Data Science, Computer Science, Natural Language Processi.
in vocab_2] #tokens is a list '['cancel', 'netflix', 'subscript', 'good', 'show', 'watch']' Complete algorithm: import nltk from nltk.stem import PorterStemmer import re import spacy from string import punctuation #punctuations punctuations = [] for p in punctuation: if p != "'":