# Ensure you've downloaded the necessary NLTK data nltk.download('punkt')
# Tokenize the text tokens = word_tokenize(text) print(tokens)
# Using spaCy nlp = spacy.load("en_core_web_sm") doc = nlp(text)
import nltk from nltk.tokenize import word_tokenize import spacy
# Sample text (transcription of your video) text = "This is a sample text from a video."
# Ensure you've downloaded the necessary NLTK data nltk.download('punkt')
# Tokenize the text tokens = word_tokenize(text) print(tokens)
# Using spaCy nlp = spacy.load("en_core_web_sm") doc = nlp(text)
import nltk from nltk.tokenize import word_tokenize import spacy
# Sample text (transcription of your video) text = "This is a sample text from a video."