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Garrick Sherman
Garrick Sherman
National Institute on Drug Abuse
Verified email at nih.gov - Homepage
Title
Cited by
Cited by
Year
Overview of the TREC-2015 Microblog Track
J Lin, M Efron, Y Wang, G Sherman, E Voorhees
Text REtrieval Conference, 2015
2212015
The emotional and mental health impact of the murder of George Floyd on the US population
JC Eichstaedt, GT Sherman, S Giorgi, SO Roberts, ME Reynolds, ...
Proceedings of the National Academy of Sciences 118 (39), e2109139118, 2021
1552021
Tracking mental health and symptom mentions on Twitter during COVID-19
SC Guntuku, G Sherman, DC Stokes, AK Agarwal, E Seltzer, ...
Journal of general internal medicine 35, 2798-2800, 2020
1262020
Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States
SC Guntuku, AM Buttenheim, G Sherman, RM Merchant
Vaccine 39 (30), 4034-4038, 2021
542021
Assessor differences and user preferences in tweet timeline generation
Y Wang, G Sherman, J Lin, M Efron
Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015
332015
The University of Illinois' Graduate School of Library and Information Science at TREC 2011.
M Efron, J Deisner, P Organisciak, G Sherman, A Lucic
TREC, 2011
222011
Prospective associations of text‐message‐based sentiment with symptoms of depression, generalized anxiety, and social anxiety
CA Stamatis, J Meyerhoff, T Liu, G Sherman, H Wang, T Liu, B Curtis, ...
Depression and anxiety 39 (12), 794-804, 2022
172022
TextAnalyzer
J Berger, G Sherman, L Ungar
Last Accessed April 24, 2023, 2020
152020
Insights into the accuracy of social scientists’ forecasts of societal change
Nature human behaviour 7 (4), 484-501, 2023
132023
Explaining the Trump gap in social distancing using COVID discourse
A Van Loon, S Stewart, B Waldon, SK Lakshmikanth, I Shah, SC Guntuku, ...
Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, 2020
112020
Understanding the expression of loneliness on Twitter across age groups and genders
A Andy, G Sherman, SC Guntuku
Plos one 17 (9), e0273636, 2022
102022
Social media reveals urban-rural differences in stress across China
J Cui, T Zhang, K Jaidka, D Pang, G Sherman, V Jakhetiya, LH Ungar, ...
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
92022
Using Facebook language to predict and describe excessive alcohol use
R Jose, M Matero, G Sherman, B Curtis, S Giorgi, HA Schwartz, LH Ungar
Alcoholism: Clinical and Experimental Research 46 (5), 836-847, 2022
92022
Document expansion using external collections
G Sherman, M Efron
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
82017
Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?
J Meyerhoff, T Liu, CA Stamatis, T Liu, H Wang, Y Meng, B Curtis, CJ Karr, ...
Behaviour Research and Therapy, 104342, 2023
62023
Measuring the language of self-disclosure across corpora
AK Reuel, S Peralta, J Sedoc, G Sherman, L Ungar
Findings of the Association for Computational Linguistics: ACL 2022, 1035-1047, 2022
62022
Learning sufficient queries for entity filtering
M Efron, C Willis, G Sherman
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
62014
Head versus heart: Social media reveals differential language of loneliness from depression
T Liu, LH Ungar, B Curtis, G Sherman, K Yadeta, L Tay, JC Eichstaedt, ...
npj Mental Health Research 1 (1), 16, 2022
52022
Depression and anxiety have distinct and overlapping language patterns: Results from a clinical interview.
EC Stade, L Ungar, JC Eichstaedt, G Sherman, AM Ruscio
Journal of psychopathology and clinical science, 2023
32023
The association of language style matching in text messages with mood and anxiety symptoms
CA Stamatis, J Meyerhoff, T Liu, Z Hou, G Sherman, BL Curtis, LH Ungar, ...
Procedia computer science 206, 151-161, 2022
32022
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Articles 1–20