is the use of automated text classification methods to examine how men and women might use language differently. Such work on classifying texts by gender has achieved accuracy rates of 70-80% for texts of different types (e-mail, novels, non-fiction articles), indicating that noticeable differences exist (de Vel et al. 2002; Argamon et al. 2003). More to the point, though, is the fact that the distinguishing language features that emerge from these studies are consistent, both with each other, as well…
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