What Men Say, What Women Hear: Finding Gender Specific Meaning Shades
The authors examine the problem of gender discrimination and attempt to move beyond the typical surface level text classification approach by identifying differences between genders in the ways they use the same words. They present several experiments using data from a large collection of blogs authored by men and women, and they report results for a new task of "gender based word disambiguation" for a set of over 350 words.
IEEE Intelligent Systems