학술논문
Recognition of Personality Traits using Word Vector from Reflective Context
Document Type
Conference
Author
Source
2019 7th International Conference on Robot Intelligence Technology and Applications (RiTA) Robot Intelligence Technology and Applications (RiTA), 2019 7th International Conference on. :89-92 Nov, 2019
Subject
Language
Abstract
Predicting personality is meaningful for many social applications that target humans. In this work we proposed a way to model the user's personality with a small number of contexts based on personal SNS post data. We compared and analyzed various combination of word vector and classifier to optimize performance. We find that our model achieves f1-scores 0.72 and 0.74 in unimodal and multimodal case respectively for Big-5 personality traits. We are planning to develop a real time personality recognizer that operates with utterance in the human-robot interaction situation.