For example, (Xie et al., 2013) has proposed to use semantic frame parsers to generalize from sentences to scenarios to detect the roles of specific companies (positive or negative), where support vector machines with tree kernels are used as predictive models.
(Ding et al., 2014) has proposed to use various lexical and syntactic constraints to extract event features for stock forecasting, where they have investigated both linear classifiers and deep neural networks as predictive models.