Modeling personality language use with small semantic vector subspaces

• Semantic vector subspaces can extract personality trait-relevant semantic properties • Our method generates observable semantic indicators of the Big Five from language • Our findings partially support the well-known lexical hypothesis of personality • There are different groups or patterns of personality language use • There are differences in the way people express their personality in language