In this case, the lexica outperformed previous results for gender prediction of Twitter users, which ranged from 75.5% to 87% (Burger et al., 2011;Ciot et al., 2013;Liu and Ruths, 2013;Al Zamal et al., 2012).
the lexica were unable to match the 92.0% accuracy Burger et al.