Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Predicting Depression Levels Using Social Media Posts
SNS Based Predictive Model for Depression
Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals
Detecting Depression using Vocal, Facial and Semantic Communication Cues
The Relationship Between Online Social Networking and Depression: A Systematic Review of Quantitative Studies.
CLPsych 2015 Shared Task: Depression and PTSD on Twitter
Sentiment analysis and affective computing for depression monitoring
Social Media Mining to Understand Public Mental Health
Extracting psychiatric stressors for suicide from social media using deep learning
A Cross-modal Review of Indicators for Depression Detection Systems
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences
A Survey of Prediction Using Social Media
Characterisation of mental health conditions in social media using Informed Deep Learning
Multimodal Measurement of Depression Using Deep Learning Models
Social Networking Sites, Depression, and Anxiety: A Systematic Review
Automatic Detection of Psychological Distress Indicators and Severity Assessment from Online Forum Posts
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Fusing location data for depression prediction
DeepMood: Forecasting Depressed Mood Based on Self-Reported Histories via Recurrent Neural Networks
Using social media for social comparison and feedback-seeking: gender and popularity moderate associations with depressive symptoms
A big data application to predict depression in the university based on the reading habits
feeling bad on facebook : depression disclosures by college students on a social networking site .
Seeing what the system thinks you know: visualizing evidence in an open learner model
A novel method for vegetation encroachment monitoring of transmission lines using a single 2D camera
Improving Usability of Integrated Emergency Response Systems: The SoKNOS Approach
The Software Ontology (SWO): a resource for reproducibility in biomedical data analysis, curation and digital preservation