- Home
- Publications
- Publication Search
- Publication Details
Title
Deep Learning for Depression Detection from Textual Data
Authors
Keywords
-
Journal
Electronics
Volume 11, Issue 5, Pages 676
Publisher
MDPI AG
Online
2022-02-23
DOI
10.3390/electronics11050676
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- STRENUOUS: Edge-Line Computing, AI and IIoT enabled GPS Spatiotemporal data-based Meta-transmission Healthcare Ecosystem for Virus Outbreaks Discovery
- (2022) Hemant Ghayvat et al. IEEE Internet of Things Journal
- PP-SPA: Privacy Preserved Smartphone-Based Personal Assistant to Improve Routine Life Functioning of Cognitive Impaired Individuals
- (2021) Abdul Rehman Javed et al. NEURAL PROCESSING LETTERS
- Cross corpus multi-lingual speech emotion recognition using ensemble learning
- (2021) Wisha Zehra et al. Complex & Intelligent Systems
- Machine Learning for Mental Health in Social Media: Bibliometric Study
- (2021) Jina Kim et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- A Hierarchical Depression Detection Model Based on Vocal and Emotional Cues
- (2021) Yizhuo Dong et al. NEUROCOMPUTING
- Deep learning for prediction of depressive symptoms in a large textual dataset
- (2021) Md Zia Uddin et al. NEURAL COMPUTING & APPLICATIONS
- A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
- (2021) Abdul Rehman Javed et al. Sustainable Cities and Society
- Combining Sentiment Lexicons and Content-Based Features for Depression Detection
- (2021) Raymond Chiong et al. IEEE INTELLIGENT SYSTEMS
- Exploring fine-grained syntactic information for aspect-based sentiment classification with dual graph neural networks
- (2021) Luwei Xiao et al. NEUROCOMPUTING
- COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks
- (2021) Sharnil Pandya et al. Frontiers in Public Health
- Analyzing the Effectiveness and Contribution of Each Axis of Tri-Axial Accelerometer Sensor for Accurate Activity Recognition
- (2020) Abdul Rehman Javed et al. SENSORS
- PARCIV: Recognizing physical activities having complex interclass variations using semantic data of smartphone
- (2020) Muhammad Usman Sarwar et al. SOFTWARE-PRACTICE & EXPERIENCE
- Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features
- (2020) Hatoon S. ALSAGRI et al. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- A deep learning model for detecting mental illness from user content on social media
- (2020) Jina Kim et al. Scientific Reports
- A collaborative healthcare framework for shared healthcare plan with ambient intelligence
- (2020) Abdul Rehman Javed et al. Human-centric Computing and Information Sciences
- Can machine learning be useful as a screening tool for depression in primary care?
- (2020) Erito Marques de Souza Filho et al. JOURNAL OF PSYCHIATRIC RESEARCH
- Automated cognitive health assessment in smart homes using machine learning
- (2020) Abdul Rehman Javed et al. Sustainable Cities and Society
- A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
- (2020) Erico Tjoa et al. IEEE Transactions on Neural Networks and Learning Systems
- A text classification framework for simple and effective early depression detection over social media streams
- (2019) Sergio G. Burdisso et al. EXPERT SYSTEMS WITH APPLICATIONS
- Capturing Emotion Distribution for Multimedia Emotion Tagging
- (2019) Shangfei Wang et al. IEEE Transactions on Affective Computing
- A fuzzy convolutional neural network for text sentiment analysis
- (2018) Tuan-Linh Nguyen et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Detecting Suicidal Ideation on Forums: Proof-of-Concept Study
- (2018) Ahmet Emre Aladağ et al. JOURNAL OF MEDICAL INTERNET RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started