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Create preprocessing.py
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import re
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
stop_words = set(stopwords.words('english'))
lemmatizer = WordNetLemmatizer()
def preprocess_text(text):
# Text processing steps
text = text.lower()
text = re.sub(r'http\S+|www\S+|https\S+', '', text)
text = re.sub(r'<.*?>', '', text)
text = re.sub(r'[^a-zA-Z\s]', '', text)
text = re.sub(r'\s+', ' ', text).strip()
text = ' '.join(word for word in text.split() if word not in stop_words)
text = ' '.join(lemmatizer.lemmatize(word) for word in text.split())
return text