While different techniques have been proposed to learn such representations (Collobert and Weston, 2008;Mikolov et al., 2013b;Pennington et al., 2014), all rely on the distributional hypothesis -the idea that the meaning of a word is captured by the contexts in which it appears.
the quality of word vectors directly depends on the amount and quality of data they were trained on.