To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

Medical sciences have long since established an ethics code for experiments, to minimize
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …

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 …

Researchers in fields such as sociology, demography and public health, have used data
from social media to explore a diversity of questions. In public health, researchers use data …

Psychology research suggests that certain personality traits correlate with linguistic
behavior. This correlation can be effectively modeled with statistical natural language …

Extra-linguistic factors influence language use, and are accounted for by speakers and
listeners. Most natural language processing (NLP) tasks to date, however, treat language as …

We introduce initial groundwork for estimating suicide risk and mental health in a deep
learning framework. By modeling multiple conditions, the system learns to make predictions …

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 …

Social media are well-established means of online communication, generating vast amounts
of data. In this paper, we focus on Twitter and investigate behavioural differences between …

Health organizations are increasingly using social media, such as Twitter, to disseminate
health messages to target audiences. Determining the extent to which the target audience …