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"

10 / 10 papers shown

Title
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Yusif Ibrahimov Tarique Anwar Tommy Yuan 51 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 38 12 0 09 Jan 2024
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media Ana-Maria Bucur AI4MH 42 10 0 05 Jul 2023
Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes Wei Duan Junyu Xuan Maoying Qiao Jie Lu 36 8 0 05 Dec 2022
Semantic Similarity Models for Depression Severity Estimation Anxo Perez Neha Warikoo Kexin Wang Javier Parapar Iryna Gurevych AI4MH 23 7 0 14 Nov 2022
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media Hamad Zogan Imran Razzak Shoaib Jameel Guandong Xu 19 57 0 23 May 2021
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media S. Suman H. Shalu Lakshya A Agrawal Archit Agrawal Juned Kadiwala 21 6 0 29 Nov 2020
See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data Paulo Mann A. Paes Elton H. Matsushima 16 40 0 03 Dec 2019
Attention-based Conditioning Methods for External Knowledge Integration Katerina Margatina Christos Baziotis Alexandros Potamianos 25 30 0 09 Jun 2019
Anxious Depression Prediction in Real-time Social Data Akshi Kumar Aditi Sharma Anshika Arora 19 84 0 25 Mar 2019