Papers by David E. Losada

3 papers
DepressMind: A Depression Surveillance System for Social Media Analysis (2024.eacl-demo)

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Challenge: DepressMind is a tool for the analysis of social network data on depression . the tool explores multiple psychological dimensions associated with clinical depression based on the social network .
Approach: They propose to use social network data to analyze clinical depression . they aim to link extracts from social networks with symptoms of the Beck Depression Inventory .
Outcome: The tool explores multiple psychological dimensions associated with clinical depression and estimates the extent to which these symptoms manifest in language use.
Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior (2025.findings-emnlp)

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Challenge: a new study examines the interaction between natural language use and gambling disorders.
Approach: They build a new corpus of sentences that are searched and compared using top-k pooling to form the assessment pools of sentences.
Outcome: The proposed model is based on a new corpus of sentences in spanish .
DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media (2023.acl-long)

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Challenge: Mental disorders affect millions of people worldwide and cause interference with their thinking and behavior.
Approach: They propose to adapt a social media-based mental health model to automatically analyze social media content to detect signs of mental disorders.
Outcome: The proposed model improves classification performance and competitiveness against state-of-the-art methods.

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