On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bucur, Ana-Maria, Moldovan, Andreea-Codrina, Parvatikar, Krutika, Zampieri, Marcos, KhudaBukhsh, Ashiqur R., Dinu, Liviu P.
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Datasets for Depression Modeling in Social Media: An Overview
von: Bucur, Ana-Maria, et al.
Veröffentlicht: (2025)

Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
von: Stanley, Miles, et al.
Veröffentlicht: (2026)

Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech
von: Pofcher, Jonathan, et al.
Veröffentlicht: (2025)

Asymptotic Analysis of the Total Quasi-Steady State Approximation for the Michaelis--Menten Enzyme Kinetic Reactions
von: Ganguly, Arnab, et al.
Veröffentlicht: (2025)

Down the Toxicity Rabbit Hole: A Novel Framework to Bias Audit Large Language Models
von: Dutta, Arka, et al.
Veröffentlicht: (2023)

Community Needs and Assets: A Computational Analysis of Community Conversations
von: Chowdhury, Md Towhidul Absar, et al.
Veröffentlicht: (2024)

Gender Representation and Bias in Indian Civil Service Mock Interviews
von: Banerjee, Somonnoy, et al.
Veröffentlicht: (2024)

ARTICLE: Annotator Reliability Through In-Context Learning
von: Dutta, Sujan, et al.
Veröffentlicht: (2024)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive
von: Weerasooriya, Tharindu Cyril, et al.
Veröffentlicht: (2023)

Statistical inference for a multiscale stochastic model of enzyme kinetics via propagation of chaos
von: Ganguly, Arnab, et al.
Veröffentlicht: (2024)

Local times of self-intersection and sample path properties of Volterra Gaussian processes
von: Izyumtseva, Olga, et al.
Veröffentlicht: (2024)

Mixing time for an epidemic model on graphs with external sources of infection
von: KhudaBukhsh, Wasiur R., et al.
Veröffentlicht: (2025)

Self-intersection local times for Volterra Gaussian processes in stochastic flows with interaction
von: Izyumtseva, Olga, et al.
Veröffentlicht: (2026)

PsihoRo: Depression and Anxiety Romanian Text Corpus
von: Ciobotaru, Alexandra, et al.
Veröffentlicht: (2026)

Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
von: Chowdhury, Md Towhidul Absar, et al.
Veröffentlicht: (2024)

Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups
von: Magu, Rijul, et al.
Veröffentlicht: (2025)

When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries
von: Vijay, Supriti, et al.
Veröffentlicht: (2024)

Rater Cohesion and Quality from a Vicarious Perspective
von: Pandita, Deepak, et al.
Veröffentlicht: (2024)

What About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency Via Adversarial Nudge
von: Dutta, Arka, et al.
Veröffentlicht: (2025)

Model-based clustering of time-dependent observations with common structural changes
von: Corradin, Riccardo, et al.
Veröffentlicht: (2024)

Stochastic Analysis of Entanglement-assisted Quantum Communication Channels
von: Elsayed, Karim S., et al.
Veröffentlicht: (2024)

Pairwise accelerated failure time regression models for infectious disease transmission in close-contact groups with external sources of infection
von: Sharker, Yushuf, et al.
Veröffentlicht: (2019)

Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close‐Contact Groups With External Sources of Infection
von: Yushuf Sharker, et al.
Veröffentlicht: (2024)

A Survey on Multilingual Mental Disorders Detection from Social Media Data
von: Bucur, Ana-Maria, et al.
Veröffentlicht: (2025)

Designing NLP Systems That Adapt to Diverse Worldviews
von: Creanga, Claudiu, et al.
Veröffentlicht: (2024)

Kernel-based estimators for functional causal effects
von: Raykov, Yordan P., et al.
Veröffentlicht: (2025)

Transformer based neural networks for emotion recognition in conversations
von: Creanga, Claudiu, et al.
Veröffentlicht: (2024)

Automated Text Identification Using CNN and Training Dynamics
von: Creanga, Claudiu, et al.
Veröffentlicht: (2024)

Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions
von: Tasnim, Nazia, et al.
Veröffentlicht: (2024)

Including frameworks of public health ethics in computational modelling of infectious disease interventions
von: Zarebski, Alexander E., et al.
Veröffentlicht: (2025)

Proof of a Conjecture of Drton, Sturmfels and Sullivant on the maximum likelihood degree of the Gaussian graphical model of a cycle
von: Dinu, Rodica Andreea, et al.
Veröffentlicht: (2025)

Phylogenetic degrees for Jukes-Cantor model
von: Dinu, Rodica Andreea, et al.
Veröffentlicht: (2024)

Measuring cross-language intelligibility between Romance languages with computational tools
von: Dinu, Liviu P, et al.
Veröffentlicht: (2026)

Large Language Models for Mental Health: A Multilingual Evaluation
von: Raihan, Nishat, et al.
Veröffentlicht: (2026)

Structural Change and the Labor Share: Insights From Baumol and Lewis
von: Codrina Rada, et al.
Veröffentlicht: (2025)

Galerkin Approximation of the Fractional Sobolev Constant
von: Dima, Andreea, et al.
Veröffentlicht: (2026)

A 2D stochastic fluid-structure interaction problem in compliant arteries with non-zero longitudinal displacement
von: Tawri, Krutika
Veröffentlicht: (2023)

A stochastic fluid-structure interaction problem with the Navier slip boundary condition
von: Tawri, Krutika
Veröffentlicht: (2024)

Classifying Human-Generated and AI-Generated Election Claims in Social Media
von: Dmonte, Alphaeus, et al.
Veröffentlicht: (2024)

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment
von: Karamolegkou, Antonia, et al.
Veröffentlicht: (2025)