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From ADHD to SAD: Analyzing the Language of Mental Health on Twitter through Self-Reported Diagnoses
Glen Coppersmith
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Mark Dredze
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Craig Harman
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Kristy Hollingshead
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Paper Details:
Month: June 5
Year: 2015
Location: Denver, Colorado
Venue:
CLPsych |
WS |
Citations
URL
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Arman Cohan
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Bart Desmet
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Andrew Yates
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Luca Soldaini
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Sean MacAvaney
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Nazli Goharian
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“i have a feeling trump will win..................”: Forecasting Winners and Losers from User Predictions on Twitter
Sandesh Swamy
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Alan Ritter
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Marie-Catherine de Marneffe
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Depression and Self-Harm Risk Assessment in Online Forums
Andrew Yates
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Arman Cohan
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Nazli Goharian
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Residualized Factor Adaptation for Community Social Media Prediction Tasks
Mohammadzaman Zamani
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H. Andrew Schwartz
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Veronica Lynn
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Salvatore Giorgi
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Niranjan Balasubramanian
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evision PDF of 'Multitask Learning for Mental Health Conditions with Limited Social Media Data
Adrian Benton
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Margaret Mitchell
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Dirk Hovy
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A Computational Analysis of the Language of Drug Addiction
Carlo Strapparava
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Rada Mihalcea
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Predictive Linguistic Features of Schizophrenia
Efsun Sarioglu Kayi
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Mona Diab
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Luca Pauselli
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Michael Compton
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Glen Coppersmith
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CLPsych 2015 Shared Task: Depression and PTSD on Twitter
Glen Coppersmith
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Mark Dredze
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Craig Harman
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Kristy Hollingshead
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Margaret Mitchell
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Crazy Mad Nutters: The Language of Mental Health
Jena D. Hwang
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Kristy Hollingshead
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The language of mental health problems in social media
George Gkotsis
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Anika Oellrich
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Tim Hubbard
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Richard Dobson
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Maria Liakata
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Sumithra Velupillai
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Rina Dutta
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Exploratory Analysis of Social Media Prior to a Suicide Attempt
Glen Coppersmith
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Kim Ngo
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Ryan Leary
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Anthony Wood
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Towards Automatically Classifying Depressive Symptoms from Twitter Data for Population Health
Danielle L. Mowery
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Albert Park
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Craig Bryan
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Mike Conway
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The Clinical Panel: Leveraging Psychological Expertise During NLP Research
Glen Coppersmith
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Kristy Hollingshead
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H. Andrew Schwartz
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Molly Ireland
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Rebecca Resnik
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Kate Loveys
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April Foreman
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Loring Ingraham
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Ethical Research Protocols for Social Media Health Research
Adrian Benton
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Glen Coppersmith
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Mark Dredze
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How Does Twitter User Behavior Vary Across Demographic Groups?
Zach Wood-Doughty
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Michael Smith
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David Broniatowski
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Mark Dredze
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In your wildest dreams: the language and psychological features of dreams
Kate Niederhoffer
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Jonathan Schler
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Patrick Crutchley
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Kate Loveys
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Glen Coppersmith
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Small but Mighty: Affective Micropatterns for Quantifying Mental Health from Social Media Language
Kate Loveys
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Patrick Crutchley
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Emily Wyatt
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Glen Coppersmith
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Simple Queries as Distant Labels for Predicting Gender on Twitter
Chris Emmery
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Grzegorz Chrupała
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Walter Daelemans
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Cross-cultural differences in language markers of depression online
Kate Loveys
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Jonathan Torrez
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Alex Fine
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Glen Moriarty
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Glen Coppersmith
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Deep Learning for Depression Detection of Twitter Users
Ahmed Husseini Orabi
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Prasadith Buddhitha
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Mahmoud Husseini Orabi
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Diana Inkpen
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RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Sean MacAvaney
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Bart Desmet
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Arman Cohan
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Luca Soldaini
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Andrew Yates
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Ayah Zirikly
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Nazli Goharian
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Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms
Lucie Flekova
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Vasileios Lampos
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Ingemar Cox
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Not Just Depressed: Bipolar Disorder Prediction on Reddit
Ivan Sekulic
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Matej Gjurković
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Jan Šnajder
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https://pypi.python.org/pypi/Unidecode
https://code.google.com/p/cld2/
http://wwbp.org/data.html
Field Of Study
Language
English
Dataset
Social Media
Twitter
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