Looking closely at the main screenshot, I only see one tweet related to product support. Look forward to future posts discussing their filtering methods. Raw word list? Bayesian learning? 440+ tweets is not insignificant, but experience tells me this takes about 3 or 4 hours per day just to manually identify/categorize using a sane level of effort.