  Instead of the 'bag-of-words' representation, in the quantitative profile
approach to spam filtering and email categorization, an email is represented by
an m-dimensional vector of numbers, with m fixed in advance. Inspired by Sroufe
et al. [Sroufe, P., Phithakkitnukoon, S., Dantu, R., and Cangussu, J. (2010).
Email shape analysis. In \emph{LNCS}, 5935, pp. 18-29] two instances of
quantitative profiles are considered: line profile and character profile.
Performance of these profiles is studied on the TREC 2007, CEAS 2008 and a
private corpuses. At low computational costs, the two quantitative profiles
achieve performance that is at least comparable to that of heuristic rules and
naive Bayes.
