ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.06149
  4. Cited By
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled
  Multitask Learning Framework

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework

12 November 2020
S. Yadav
Jainish Chauhan
Joy Prakash Sain
K. Thirunarayan
A. Sheth
Jeremiah A. Schumm
ArXivPDFHTML

Papers citing "Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework"

16 / 16 papers shown
Title
Datasets for Depression Modeling in Social Media: An Overview
Datasets for Depression Modeling in Social Media: An Overview
Ana-Maria Bucur
Andreea-Codrina Moldovan
Krutika Parvatikar
Marcos Zampieri
Ashiqur R. KhudaBukhsh
Liviu P. Dinu
42
0
0
27 Mar 2025
LLM Assistance for Pediatric Depression
LLM Assistance for Pediatric Depression
Mariia Ignashina
Paulina Bondaronek
Dan Santel
John Pestian
Julia Ive
AI4MH
AI4Ed
44
0
0
29 Jan 2025
Self-Supervised Embeddings for Detecting Individual Symptoms of
  Depression
Self-Supervised Embeddings for Detecting Individual Symptoms of Depression
Sri Harsha Dumpala
Katerina Dikaios
Abraham Nunes
Frank Rudzicz
Rudolf Uher
Sageev Oore
SSL
41
1
0
25 Jun 2024
Evaluating Lexicon Incorporation for Depression Symptom Estimation
Evaluating Lexicon Incorporation for Depression Symptom Estimation
Kirill Milintsevich
Gael Dias
Kairit Sirts
21
0
0
30 Apr 2024
Your Model Is Not Predicting Depression Well And That Is Why: A Case
  Study of PRIMATE Dataset
Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset
Kirill Milintsevich
Kairit Sirts
Gael Dias University of Caen Normandy
AI4MH
22
2
0
01 Mar 2024
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based
  on Twitter Data
LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data
Vijeta Deshpande
Minhwa Lee
Zonghai Yao
Zihao Zhang
Jason Brian Gibbons
Hong-ye Yu
AI4MH
26
1
0
21 Feb 2024
Multitask learning for recognizing stress and depression in social media
Multitask learning for recognizing stress and depression in social media
Loukas Ilias
D. Askounis
11
8
0
30 May 2023
IRFL: Image Recognition of Figurative Language
IRFL: Image Recognition of Figurative Language
Ron Yosef
Yonatan Bitton
Dafna Shahaf
35
17
0
27 Mar 2023
Depression detection in social media posts using affective and social
  norm features
Depression detection in social media posts using affective and social norm features
Ilias Triantafyllopoulos
Georgios Paraskevopoulos
Alexandros Potamianos
8
2
0
24 Mar 2023
Deep Temporal Modelling of Clinical Depression through Social Media Text
Deep Temporal Modelling of Clinical Depression through Social Media Text
Nawshad Farruque
Randy Goebel
Sudhakar Sivapalan
Osmar R. Zaïane
12
4
0
28 Oct 2022
DEPTWEET: A Typology for Social Media Texts to Detect Depression
  Severities
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
Depression Symptoms Modelling from Social Media Text: A Semi-supervised
  Learning Approach
Depression Symptoms Modelling from Social Media Text: A Semi-supervised Learning Approach
Nawshad Farruque
Randy Goebel
Sudhakar Sivapalan
Osmar Zaiane
18
3
0
06 Sep 2022
Symptom Identification for Interpretable Detection of Multiple Mental
  Disorders
Symptom Identification for Interpretable Detection of Multiple Mental Disorders
Zhiling Zhang
Siyuan Chen
Mengyue Wu
Ke Zhu
24
26
0
23 May 2022
Improving the Generalizability of Depression Detection by Leveraging
  Clinical Questionnaires
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
Thong Nguyen
Andrew Yates
Ayah Zirikly
Bart Desmet
Arman Cohan
AI4MH
17
52
0
21 Apr 2022
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big
  Task
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task
Quan Feng
Songcan Chen
8
5
0
07 Jan 2022
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
1