Identifying Depression on Twitter

25 July 2016

Papers citing "Identifying Depression on Twitter"

8 / 8 papers shown

Title
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study J. Benítez-Andrades José-Manuel Alija-Pérez Maria-Esther Vidal R. Pastor-Vargas María Teresa García-Ordás 56 36 0 08 Feb 2024
DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media Hamad Zogan Imran Razzak Shoaib Jameel Guandong Xu 83 60 0 23 May 2021
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction Ayaan Haque V. Reddi Tyler Giallanza NoLa 56 60 0 18 Feb 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 23 6 0 29 Nov 2020
Examining the Role of Mood Patterns in Predicting Self-Reported Depressive symptoms L. L. Chen Walid Magdy H. Whalley M. Wolters 37 12 0 14 Jun 2020
Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features Hatoon S. Alsagri M. Ykhlef 51 113 0 09 Mar 2020
Anxious Depression Prediction in Real-time Social Data Akshi Kumar Aditi Sharma Anshika Arora 26 85 0 25 Mar 2019
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences Marcel Trotzek Sven Koitka Christoph M. Friedrich 66 201 0 19 Apr 2018