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- import nltk
- from nltk.stem import WordNetLemmatizer
- import pandas as pd
- feedback=pd.read_csv('/datasets/feedback_eng.csv')
- wordnet_lemma = WordNetLemmatizer()
- text = feedback['text'][1]
- word = nltk.word_tokenize(text)
- lemmas = [wordnet_lemma.lemmatize(w, pos = 'n') for w in word]
- print(lemmas)
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