Online social networks can be used for mental healthcare monitoring using Artificial
Intelligence and Machine Learning techniques for detecting various mental health disorders …

The extraction of linguistic markers from social media posts, which are indicative of the onset
and course of mental disorders, offers great potential for mental healthcare. In the present …

Social media platforms have become pivotal as self-help forums, enabling individuals to
share personal experiences and seek support. However, on topics as sensitive as …

Social media are increasingly being used as self-help boards, where individuals can
disclose personal experiences and feelings and look for support from peers or experts. Here …

The identification of key concepts within unstructured data is of paramount importance in
practical applications. Despite the abundance of proposed methods for extracting primary …

Multi-scale strategies to estimate mixing patterns are meant to capture heterogeneous
behaviors among node homophily, but they ignore an important addendum often available …

With the popularity of online mental health platforms, more individuals are seeking help and
receiving social support by openly discussing their problems. Therefore, it's crucial to gain a …

Social media platforms are online fora where users engage in discussions, share content,
and build connections. This review explores the dynamics of social interactions, user …

A psychometric scale reports experiences in terms of items/sentences rated by individuals.
We investigate whether psychometric item ratings reflect semantic/syntactic associations …

The identification of the most significant concepts in unstructured data is of critical
importance in various practical applications. Despite the large number of methods that have …