Identification of Extraversion and Neuroticism Personality Dimensions Using IndoBERT’s Deep Learning Model

Abstract

Human resources are essential for the business organization to adapt to change. Identifying the personality dimensions of new talent could help recruiters conduct the selection process of matching skilled talent to the organization’s needs. The objective of this study is to identify the personality dimensions corresponding to the job need, which correlates with extraversion and neuroticism. The legacy methodology to determine personality dimensions is through interviews or questionnaire surveys, but this process is costly and takes longer time to complete. This paper proposes a work on a person personality identification based on social media text as a complementary methodology. We utilize the textual data to support identifying new talent personality dimensions. In this study, we use IndoBERT model to capture person personality dimension based on their post on Twitter social media. As a result, our model achieves 96% accuracy in identifying extraversion and neuroticism personality dimensions. We also compare our result with the previous work based on the ontology model.