Personality Measurement Design for Ontology Based Platform using Social Media Text
Andry Alamsyah, Sri Widiyanesti, Rizqy Dwi Putra, Puspita Kencana Sari · Advances in Science Technology and Engineering Systems Journal · 2020
Human behavior quantification is an essential part of psychological science.One of the cases is measuring human personality.Social media provide rich text, which can be beneficial as a data source to get valuable insight.Previous researches show that social media offered favorable circumstances for psychological researchers by tracking, analyzing, and predicting human character.In this research, we propose a personality measurement design to help to assess human character through linguistic usage from human digital traces.We construct our model by classifying social media text to the pre-determined personality facet from Big Five personality traits, mapping the knowledge to the ontology model, and implementing the model as a platform dictionary.Our model is based on the Indonesian language, which to the best of our knowledge is the first in the subject area.The platform is running effectively by using a well-established sorting algorithm, called the radix tree.Our objective is to support psychological science in adapting to a new technological era.