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The Problem of Semantic Shift in Longitudinal Monitoring of Social
  Media: A Case Study on Mental Health During the COVID-19 Pandemic

The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic

22 June 2022
Keith Harrigian
Mark Dredze
ArXivPDFHTML

Papers citing "The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic"

4 / 4 papers shown
Title
Leveraging Prompt-Based Large Language Models: Predicting Pandemic
  Health Decisions and Outcomes Through Social Media Language
Leveraging Prompt-Based Large Language Models: Predicting Pandemic Health Decisions and Outcomes Through Social Media Language
Xi Ding
Buse Çarik
U. Gunturi
Valerie F. Reyna
Eugenia H. Rho
27
7
0
01 Mar 2024
Exploring Social Media for Early Detection of Depression in COVID-19
  Patients
Exploring Social Media for Early Detection of Depression in COVID-19 Patients
Jiageng Wu
Xian Wu
Yining Hua
Shixu Lin
Yefeng Zheng
Jie Yang
17
19
0
23 Feb 2023
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed
  Depression Diagnoses
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses
Keith Harrigian
Mark Dredze
17
3
0
22 Jun 2022
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
1