Recognition of Personality Traits using Word Vector from Reflective Context

Authors
Bhin, HyeonukChoi, JongsukLim, Yoonseob
Issue Date
2019-11
Publisher
IEEE
Citation
7th International Conference on Robot Intelligence Technology and Applications (RiTA), pp.89 - 92
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.
URI
https://pubs.kist.re.kr/handle/201004/113864
Appears in Collections:
KIST Conference Paper > 2019
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