Recognition of Apparent Personality Traits from Text and Handwritten Images
Personality has been considered as one of the most difficult human attributes to understand. It is very important as it can be used to define the uniqueness of a person, and it has a direct impact into several aspects of everyone’s life. This paper describes our participation in the HWxPI challenge @ ICPR 2018, an academic competition focusing on the development of methods for estimation of apparent personality from handwritten and textual information. The proposed solution combined information extracted from both text and images. From the textual modality, words, and other linguistic features were considered; whereas handwritten information was represented with shape features extracted from segmented characters. Although the task was extremely hard, we show that the considered features indeed convey useful information that can be used to estimate apparent personality.
KeywordsApparent personality estimation Big Five Model Text mining Handwritten analysis
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