In addition to lexical features we extracted a set of stylistic features including emoticons, elongated words, capitalization, repeated punctuation, number of hashtags and took into account the clauselevel negation (Pang et al., 2002).
we also demonstrated that it is possible to accurately predict many perceived demographic traits of Twitter users based solely on the emotional contrast between them and their neighbors.