Naïve Bayesian filtering might not work very well on this kind of text. It basically looks like a regular comment, until you start recognizing that it always follows the same pattern. Your basic Bayesian classifier will throw all of the words in a set before analyzing them, which loses all of the information about patterns and word order. The resulting words are considered "independent" which means that even though the template might generate the words "pretty worth bloggers content online" every time it uses the first template, the naïve Bayesian classifier will never figure that part out.

My suspicion is that existing Bayesian classifiers have pushed the spammers to develop more natural-seeming templates, like this one.