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