STEP 1: Imports ##’https://appliediot.in/Regression-Examples/ ###’https://appliediot.in/classification-examples/ import pandas as pdimport reimport stringfrom bs4 import BeautifulSoupimport nltknltk.download(‘stopwords’)from nltk.corpus import stopwordsfrom nltk.stem import PorterStemmer, WordNetLemmatizer STEP 2: Load data df = pd.read_csv(‘text_reviews.csv’) STEP 3: Clean the text stop_words = set(stopwords.words(‘english’)) def clean_text(text):text = BeautifulSoup(text, “html.parser”).get_text() # Remove HTMLtext = text.lower() # Lowercasetext = re.sub(r’\d+’, ”, text) # Remove … Continue reading ML
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