9 papers
Mental Health Disorder Detection Beyond Social Media: A Systematic Review of Available Datasets
Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, Stevie Chancellor +2
Detecting mental health disorders in a timely manner is an important societal challenge. NLP and machine learning (ML) methods used to assist with detection rely on data collected…
PsihoRo: Depression and Anxiety Romanian Text Corpus
Alexandra Ciobotaru, Ana-Maria Bucur, Liviu P. Dinu
Psychological corpora in NLP are collections of texts used to analyze human psychology, emotions, and mental health. These texts allow researchers to study psychological constructs…
Assessing the Effectiveness of LLMs in Delivering Cognitive Behavioral Therapy
Navdeep Singh Bedi, Ana-Maria Bucur, Noriko Kando +1
As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many individuals currently seek support from Lar…
Large Language Models for Mental Health: A Multilingual Evaluation
Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur +2
Large Language Models (LLMs) have remarkable capabilities across NLP tasks. However, their performance in multilingual contexts, especially within the mental health domain, has not…
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Ana-Maria Bucur, Marcos Zampieri, Tharindu Ranasinghe +1
The increasing prevalence of mental disorders globally highlights the urgent need for effective digital screening methods that can be used in multilingual contexts. Most existing s…
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
Shamsuddeen Hassan Muhammad, Nedjma Ousidhoum, Idris Abdulmumin +45
People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition--an umbrella term for several NLP tasks--impacts various applications wit…