npj Mental Health Research

Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study

Ranganathan Chandrasekaran
Suhas Kotaki
Abhilash Hosaagrahaara Nagaraja

Article 06 December 2024

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Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study

Announcements

Call for Papers

Interested in joining the journal team?

Follow us on Twitter

Browse articles

Meta analysis of resting frontal alpha asymmetry as a biomarker of depression

Decreased impulsiveness and MEG normalization after AI-digital therapy in ADHD children: a RCT

Harnessing multimodal approaches for depression detection using large language models and facial expressions

Implementation of trauma and disaster mental health awareness training in Puerto Rico

Causal effects of sedentary breaks on affective and cognitive parameters in daily life: a within-person encouragement design

Detecting and tracking depression through temporal topic modeling of tweets: insights from a 180-day study

Exploring digital use, happiness, and loneliness in Japan with the experience sampling method

Deep learning models can predict violence and threats against healthcare providers using clinical notes

Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach

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