| import nltk | |
| stop_words = set(stopwords.words("english")) | |
| sentence = "We are one of the organization using tensorflow heavily." | |
| words = nltk.word_tokenize(sentence) | |
| without_stop_words = [word for word in words if not word in stop_words] | |
| print(without_stop_words) |
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