Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis
D Azucar, D Marengo, M Settanni - Personality and individual differences, 2018 - Elsevier
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 …
user generated ecological data, such as textual posts and images, which can be collected …
Predicting individual characteristics from digital traces on social media: A meta-analysis
M Settanni, D Azucar, D Marengo - Cyberpsychology, Behavior, and …, 2018 - liebertpub.com
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 …
ecological data (digital traces), which can be automatically collected for research purposes …
Deep learning-based personality recognition from text posts of online social networks
D Xue, L Wu, Z Hong, S Guo, L Gao, Z Wu, X Zhong… - Applied …, 2018 - Springer
Personality is an important psychological construct accounting for individual differences in
people. Computational personality recognition from online social networks is gaining …
people. Computational personality recognition from online social networks is gaining …
Detecting stress based on social interactions in social networks
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 …
proactive care. With the popularity of social media, people are used to sharing their daily …
Human and computer personality prediction from digital footprints
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 …
provides vast opportunities for individuals to present themselves in different ways, from …
Alleviating the new user problem in collaborative filtering by exploiting personality information
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 …
unique solution that can be applied in any domain or situation. In this paper we analyze …
A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection
S Masmoudi, H Elghazel, D Taieb, O Yazar… - Science of the Total …, 2020 - Elsevier
Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
Investigating audio, visual, and text fusion methods for end-to-end automatic personality prediction
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 …
clips with different channels for audio, text, and video data. For each channel, stacked …
Twisty: a multilingual twitter stylometry corpus for gender and personality profiling
B Verhoeven, W Daelemans… - Proceedings of the Tenth …, 2016 - aclanthology.org
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 …
style. Several personality typologies exist, however, the Briggs-Myer Type Indicator (MBTI) is …
User profiling through deep multimodal fusion
User profiling in social media has gained a lot of attention due to its varied set of
applications in advertising, marketing, recruiting, and law enforcement. Among the various …
applications in advertising, marketing, recruiting, and law enforcement. Among the various …