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Quantifying Mental Health Signals in Twitter
Glen Coppersmith
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Mark Dredze
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Craig Harman
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland, USA
Venue:
WS |
Citations
URL
Broad Twitter Corpus: A Diverse Named Entity Recognition Resource
Leon Derczynski
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Kalina Bontcheva
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Ian Roberts
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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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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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DLATK: Differential Language Analysis ToolKit
H. Andrew Schwartz
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Salvatore Giorgi
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Maarten Sap
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Patrick Crutchley
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Lyle Ungar
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Johannes Eichstaedt
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Analyzing Biases in Human Perception of User Age and Gender from Text
Lucie Flekova
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Jordan Carpenter
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Salvatore Giorgi
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Lyle Ungar
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Daniel Preoţiuc-Pietro
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On the Distribution of Lexical Features at Multiple Levels of Analysis
Fatemeh Almodaresi
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Lyle Ungar
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Vivek Kulkarni
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Mohsen Zakeri
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Salvatore Giorgi
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H. Andrew Schwartz
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Dynamic Wordclouds and Vennclouds for Exploratory Data Analysis
Glen Coppersmith
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Erin Kelly
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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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Quantifying the Language of Schizophrenia in Social Media
Margaret Mitchell
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Kristy Hollingshead
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Glen Coppersmith
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The role of personality, age, and gender in tweeting about mental illness
Daniel Preoţiuc-Pietro
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Johannes Eichstaedt
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Gregory Park
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Maarten Sap
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Laura Smith
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Victoria Tobolsky
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H. Andrew Schwartz
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Lyle Ungar
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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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Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task
Daniel Preoţiuc-Pietro
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Maarten Sap
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H. Andrew Schwartz
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Lyle Ungar
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The University of Maryland CLPsych 2015 Shared Task System
Philip Resnik
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William Armstrong
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Leonardo Claudino
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Thang Nguyen
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Towards Developing an Annotation Scheme for Depressive Disorder Symptoms: A Preliminary Study using Twitter Data
Danielle Mowery
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Craig Bryan
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Mike Conway
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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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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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Predicting Post Severity in Mental Health Forums
Shervin Malmasi
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Marcos Zampieri
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Mark Dras
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Triaging Mental Health Forum Posts
Arman Cohan
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Sydney Young
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Nazli Goharian
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Vocabulary Development To Support Information Extraction of Substance Abuse from Psychiatry Notes
Sumithra Velupillai
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Danielle L. Mowery
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Mike Conway
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John Hurdle
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Brent Kious
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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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Personality Driven Differences in Paraphrase Preference
Daniel Preoţiuc-Pietro
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Jordan Carpenter
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Lyle Ungar
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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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Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach
Kishaloy Halder
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Lahari Poddar
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Min-Yen Kan
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What type of happiness are you looking for? - A closer look at detecting mental health from language
Alina Arseniev-Koehler
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Sharon Mozgai
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Stefan Scherer
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Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings
Han-Chin Shing
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Suraj Nair
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Ayah Zirikly
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Meir Friedenberg
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Hal Daumé III
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Philip Resnik
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CLPsych 2018 Shared Task: Predicting Current and Future Psychological Health from Childhood Essays
Veronica Lynn
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Alissa Goodman
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Kate Niederhoffer
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Kate Loveys
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Philip Resnik
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H. Andrew Schwartz
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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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Detecting Linguistic Traces of Depression in Topic-Restricted Text: Attending to Self-Stigmatized Depression with NLP
JT Wolohan
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Misato Hiraga
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Atreyee Mukherjee
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Zeeshan Ali Sayyed
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Matthew Millard
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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://code.google.com/p/cld2/
Field Of Study
Task
Sentiment Analysis
Social Science
Approach
Topic Modeling
Language
English
Dataset
Social Media
Twitter
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