Quantifying Mental Health from Social Media with Neural User Embeddings

30 April 2017

Papers citing "Quantifying Mental Health from Social Media with Neural User Embeddings"

8 / 8 papers shown

Title
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities Mohsinul Kabir Tasnim Ahmed Md. Bakhtiar Hasan Md Tahmid Rahman Laskar Tarun Kumar Joarder H. Mahmud Kamrul Hasan 14 45 0 10 Oct 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses Keith Harrigian Mark Dredze 17 3 0 22 Jun 2022
Enriching Unsupervised User Embedding via Medical Concepts Xiaolei Huang Franck Dernoncourt Mark Dredze 15 3 0 20 Mar 2022
Twitter User Representation Using Weakly Supervised Graph Embedding Tunazzina Islam Dan Goldwasser 11 8 0 20 Aug 2021
Gender and Racial Fairness in Depression Research using Social Media Carlos Alejandro Aguirre Keith Harrigian Mark Dredze 14 37 0 18 Mar 2021
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study Derek Howard M. Maslej Justin Lee Jacob Ritchie G. Woollard L. French AI4MH 18 30 0 04 Jul 2019
Fusion Strategies for Learning User Embeddings with Neural Networks Philipp Blandfort Tushar Karayil Federico Raue Jörn Hees Andreas Dengel FedML 22 9 0 08 Jan 2019
Towards Deep Learning Models for Psychological State Prediction using Smartphone Data: Challenges and Opportunities Gatis Mikelsons Matthew Smith Abhinav Mehrotra Mirco Musolesi HAI 16 23 0 16 Nov 2017