Define a function named clean text that will standardize

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Reference no: EM133912553

Problem

Define a function named clean_text that will standardize, tokenize, and remove punctuation from the text data, while retaining the placeholders. The function should take the following parameter: text: The raw string of text to be cleaned. The function will: Convert the text to lowercase. Tokenize Remove all punctuation tokens using string.punctuation. Remove stop words tokens using NLTK's stopwords.words('english') The function clean_text should return a list of clean tokens, retaining the placeholders. Ps.: Don't forget to: Apply the clean_text function to the loaded train_text. Since the function internally handles the removal of stop words and punctuation (except for the placeholders), only the raw text needs to be passed as an argument. Get the instant assignment help. The output should be stored in a variable named cleaned_train_text. nltk.download('stopwords')

Reference no: EM133912553

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