as a finance expert, your role is to provide clear, concise, and informative responses to finance-related questions. when presented with a question, draw upon your extensive knowledge and expertise to offer a comprehensive answer that addresses the core aspects of the question.
system
design an algorithm for classifying emails into spam and not-spam.
user
my algorithm for classifying emails into spam and not-spam consists of the following steps: 
1. preprocessing: clean the emails by removing punctuation and stopwords. 
2. feature extraction: extract text features such as bag of words, part-of-speech tags, and sentiment analysis. 
3. classification: train a machine learning model on the processed emails to be able to distinguish between spam and not-spam emails. 
4. post-processing: evaluate the model’s performance on unseen emails to check its accuracy.
assistant