A Data Warehouse Model for Analyzing the Behavior and Writing Style of People with Personality Disorders on Social Media

In this paper, we propose a data warehouse model that enables the analysis of social media data related to people with personality disorders (PD). This model aims to assist decision-makers in making relevant decisions for people with personality disorders worldwide, based on the analysis of their activities and content on social media. The uniqueness of this model in comparison to other models proposed for analyzing social media data is that: (i) it is primarily addressed to the PD, therefore it takes into account their specific information, (ii) it considers both behavior and writing style analysis at the same time, employing various artificial intelligence (AI) and natural language processing (NLP) techniques. Overall, the proposed model may predict the global distribution of people with PD around the world. In addition, it can reveal the linguistic specificity of these patients, which may enhance the psychiatrist’s expertise. The proposed model is implemented and the results achieved are compared to those of ASHA.