The growing use of social media among Internet users produces a vast and new source of
user generated ecological data, such as textual posts and images, which can be collected …

The increasing utilization of social media provides a vast and new source of user-generated
ecological data (digital traces), which can be automatically collected for research purposes …

Personality is an important psychological construct accounting for individual differences in
people. Computational personality recognition from online social networks is gaining …

Psychological stress is threatening people's health. It is non-trivial to detect stress timely for
proactive care. With the popularity of social media, people are used to sharing their daily …

The main challenge of user personality recognition is low accuracy resulting from small
sample size and severe sample distribution imbalance. This paper analyzes the impact of …

Is it possible to judge someone accurately from his or her online activity? The Internet
provides vast opportunities for individuals to present themselves in different ways, from …

The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …

We propose a tri-modal architecture to predict Big Five personality trait scores from video
clips with different channels for audio, text, and video data. For each channel, stacked …

Personality profiling is the task of detecting personality traits of authors based on writing
style. Several personality typologies exist, however, the Briggs-Myer Type Indicator (MBTI) is …

Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …