What are some common features used in Naive Bayes spam filtering beyond individual words?

Beyond individual word frequencies, features can include: presence of URLs, excessive use of exclamation marks, all-caps words, specific keywords (e.g., 'free', 'discount'), sender's domain reputation, and the number of recipients. Combining these features can improve accuracy.