Language-based models to recognize counterfactual thinking in social media would potentially allow for psychological analysis on users based on their everyday language, avoiding the high expense of capturing counterfactual thinking at a large scale using traditional psychological assessments.
in this paper, we build a languagebased model to recognize counterfactual forms in social media texts of Twitter and Facebook.