Psychopathy is a personality disorder characterized by persistent antisocial behaviour, impaired empathy and remorse, and bold, and egotistical traits. Psychopathy is a challenging condition to diagnose and treat, and effective early detection is essential to prevent the development of severe antisocial behaviour. Recent research has explored the use of social media data to predict psychopathy, including the analysis of Twitter language. This study aimed to predict psychopathy using regression techniques, including multiple, polynomial, ridge, and LASSO regression. The study evaluated the performance of these models using cross-validation scores, with the results showing that the polynomial regression models performed the best with scores of 0.0338. The multiple regression and LASSO regression models performed poorly, with cross_val_score of 0.3428, respectively. These findings suggest that psychopathy prediction using Twitter data is possible, and the use of regression techniques can improve the accuracy of the prediction. The study highlights the potential of using social media data to detect psychopathy in individuals and aid in early interventions.