Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Technology now makes it possible to understand efficiently and at large scale how people
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …

Abstract Machine learning (ML) offers robust statistical and probabilistic techniques that can
help to make sense of large amounts of data. This scoping review paper aims to broadly …

Abstract Language use is a psychologically rich, stable individual difference with well-
established correlations to personality. We describe a method for assessing personality …

This study examines analyst information intermediary roles using a textual analysis of
analyst reports and corporate disclosures. We employ a topic modeling methodology from …

Abstract Language data available through social media provide opportunities to study
people at an unprecedented scale. However, little guidance is available to psychologists …

Using a large social media dataset and open-vocabulary methods from computational
linguistics, we explored differences in language use across gender, affiliation, and …

The massive volume of data that now covers a wide variety of human behaviors offers
researchers in psychology an unprecedented opportunity to conduct innovative theory-and …

The words that people use have been found to reflect stable psychological traits, but less is
known about the extent to which everyday fluctuations in spoken language reflect transient …

Background The aim of this study was to gain a better understanding of interpersonal
coordination (ie, covariation over time) in different modalities (eg, physiology, language) …