Identifying Personality of the New Job Applicants using the Ontology Model on Twitter Data

Human resources (HR) recruitment strategy is vital for companies to compete; recruiting suitable job applicants is an exhaustive and complex process. HR can identify job applicants effectively and efficiently with the help of information and communication technology. There is fierce competition between companies following the advancement of the digital industry. Currently, it is possible to identify prospective job applicants using a personality measurement based on an ontology model using social media data. The development of the ontology model with the addition of 2399 corpus ontologies resulted in accurate and diverse personality analysis. Therefore this ontology model is proposed to analyze personality effectively and affordable based on sizeable textual data. The subjects of this study are 5 Twitter users whose data is available on social media. We collect their tweets to characterize their expression or opinion. Textual data from those users totaling 3744 data is processed with an ontology model for measuring personality based on the Big Five Personality Traits. This research shows that job applicants have different dominant personalities such as Extraversion, Agreeableness, Conscientiousness, and Openness. The personality possessed by these job applicants is accurate based on the validation and verification by the psychologists or domain experts. This approach is helpful for the HR department in terms of knowing job applicants' personalities and deepening their understanding of personality.