The conversation between human and AI assistant.
What are the software requirements and steps to build a bayesian spam filter?
Can you explain how to collect and prepare the data?
To collect and prepare the data, you need to identify a source of spam and ham emails. This data should be organized into separate folders, and then preprocessed to clean the data, including removing any duplicates or irrelevant messages. After that, you need to implement feature extraction techniques like Term Frequency - Inverse Document Frequency (TF-IDF) to extract relevant features from each email.