nltk.download('stopwords')from nltk.corpus import stopwordsstop_words = set(stopwords.words('english'))nltk.tokenizefrom nltk.tokenize import word_tokenizefrom nltk.tokenize import sent_tokenizewords = word_tokenize(text)words_without_stopwords = []python words_without_stopwords = [word for word in words if word.lower() not in stop_words] python print(set(words) - set(words_without_stopwords)) nltk.download('stopwords') This markdown summary provides a concise guide to working with stop words in NLTK, including how to import necessary components, tokenize text, and filter out common English stop words. It also explains how to compare the results before and after stop word removal to understand the impact of this process on text data.
Summary for: Youtube