Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

19 April 2018

Papers citing "Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences"

6 / 6 papers shown

Title
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Yusif Ibrahimov Tarique Anwar Tommy Yuan 37 0 0 28 Jan 2025
DepressionEmo: A novel dataset for multilabel classification of depression emotions Abu Bakar Siddiqur Rahman Hoang-Thang Ta Lotfollah Najjar A. Azadmanesh A. Gonul AI4MH 23 10 0 09 Jan 2024
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media Ana-Maria Bucur AI4MH 22 10 0 05 Jul 2023
Semantic Similarity Models for Depression Severity Estimation Anxo Perez Neha Warikoo Kexin Wang Javier Parapar Iryna Gurevych AI4MH 13 7 0 14 Nov 2022
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media S. Suman H. Shalu Lakshya A Agrawal Archit Agrawal Juned Kadiwala 11 6 0 29 Nov 2020
Anxious Depression Prediction in Real-time Social Data Akshi Kumar Aditi Sharma Anshika Arora 14 83 0 25 Mar 2019