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A Test Collection for Research on Depression and Language Use · Study

WorkA Test Collection for Research on Depression and Language Use

David E. Losada2016

Work2016

A Test Collection for Research on Depression and Language Use

David E. Losada · Fábio Crestani

240 citations·0/0 files stored·Lecture notes in computer science

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Mental Health via Writing Sentiment Analysis and Opinion Mining Emotion and Mood Recognition

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References

2002Psychological Aspects of Natural Language Use: Our Words, Our Selves 2021Predicting Depression via Social Media 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study 2014Quantifying Mental Health Signals in Twitter 2013Social media as a measurement tool of depression in populations 2015Detecting suicidality on Twitter 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter

Cited by

2022MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare 2019A text classification framework for simple and effective early depression detection over social media streams 2019Early Detection of Depression: Social Network Analysis and Random Forest Techniques 2018Overview of eRisk: Early Risk Prediction on the Internet 2017eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations 2024Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2019Methodological Gaps in Predicting Mental Health States from Social Mediaother · 5 shared references 2018Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequencesarticle · 4 shared references 2017Researching Mental Health Disorders in the Era of Social Media: Systematic Reviewreview · 4 shared references 2016Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidalityarticle · 4 shared references 2019Who is the "Human" in Human-Centered Machine Learningarticle · 4 shared references 2017Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Mediaother · 4 shared references

Details

Year2016

Typeother

Published2016-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations240

Files0 public / 0

ShelfMental Health via Writing

Identifiers

doi10.1007/978-3-319-44564-9_3

openalex_workW2511501696

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2018

Measuring the Latency of Depression Detection in Social Media

2022Ensemble Hybrid Learning Methods for Automated Depression Detection