Competitions: Predict personality traits, Psychopathy based on Twitter usage

Psychopathy Prediction Based on Twitter Usage

The aim of the competition is to determine to what degree it's possible to predict people with a sufficiently high degree of Psychopathy based on Twitter usage and Linguistic Inquiry.

The organizers provide all interested participants an anonymised dataset of users self assessed psychopathy scores together with 337 variables derived from functions of Twitter information, useage and lingusitc analysis. Psychopathy scores are based on a checklist developed by Professor Del Paulhus at the University of British Columbia.

The model should aim to identify people scoring high in Psychopathy, for the purpose of this competition, defined as 2 SD's above a mean of 1.98. This accounts for roughly 3% of the entire sample and therefore the challenge with this dataset is developing a model to work with a highly imbalanced dataset.

For more information and to participate, visit
www.kaggle.com/c/twitter-psychopathy-prediction

The aim of this competition is to determine the best models to predict the personality traits of Machiavellianism, Narcissism, Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism based on Twitter usage and linguistic inquiry.

The organizers provide all interested participants an anonymised dataset of users self assessed personality scores (based checklists developed by Prof Del Paulhus at the University of British Columbia and Prof Sam Gosling and the University of Texas) together with 337 variables derived from functions of Twitter information and lingusitc analysis.

For more information and to participate, visit
www.kaggle.com/c/twitter-personality-prediction