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  • Such generalized pre-trained classifiers may be trained by considering more universal, or higher level features including, but not limited to, header structure, indicia of junk mail (e.g., percentage non-alphanumeric characters, capitalization patterns), relationships in an organization chart, length of messages, times, dates and other linguistic features like tense usage, presence and number of q
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