Background. Social media present a rich environment to study information behaviour, as
much of the user interaction is recorded and stored in publicly accessible repositories and …

Automated personality trait detection from text data has emerged and gained a great deal of
attention in the subject area of affective computing and sentiment analysis. Most previous …

State-of-the-art personality prediction with text data mostly relies on bottom up, automated
feature generation as part of the deep learning process. More traditional models rely on …

With the development of social networks, a large variety of approaches have been
developed to define users' personalities based on their social activities and language use …

Determining a user's preferences is an important condition for effectively operating
automatic recommendation systems. Since personality theory claims that a user's …

Purpose Compulsive usage of mobile applications may have a negative effect on people's
health and social interaction. Past studies have indicated that personality traits were related …

Purpose The main objective is to investigate the effects of antecedents of word-of-mouth
(WOM) towards sustainable fashion, using the Personality Traits theory. More specifically …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Recently, the automatic prediction of personality traits has received increasing attention and
has emerged as a hot topic within the field of affective computing. In this work, we present a …

Purpose–The purpose of this paper is to explore the factors that influence users' behavioral
intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal …