Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Using Topic Extraction on Social Media Content for the Early Detection of Depression
Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter
Extracting psychiatric stressors for suicide from social media using deep learning
A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network
a semantically enhanced approach to identify depression indicative symptoms using twitter data a thesis submitted in partial fulfillment of the requirements for the degree of master of science by .
Sentiment Classification of Social Media Content with Features Generated Using Topic Models
Multimodal Detection of Depression in Clinical Interviews
Depressive Moods of Users Portrayed in Twitter
Identifying Depression on Reddit: The Effect of Training Data
Semantic Emotion-Topic Model Based Social Emotion Mining
Depression detection using emotion artificial intelligence
Detecting Depression with Audio/Text Sequence Modeling of Interviews
Towards Assessing Changes in Degree of Depression through Facebook
A Cross-modal Review of Indicators for Depression Detection Systems
Sentiment analysis and affective computing for depression monitoring
Inferring clinical depression from speech and spoken utterances
Natural Language Processing and Lexical Approach for Depression Symptoms Screening of Indonesian Twitter User
SNS Based Predictive Model for Depression
CLPsych 2015 Shared Task: Depression and PTSD on Twitter
Using Topic Modeling to Improve Prediction of Neuroticism and Depression in College Students
Topic modeling for social media content: A practical approach
An Introduction to Variational Methods for Graphical Models
A Refreshable Braille Cell Based on Pneumatic Microbubble Actuators
Metacognitive awareness of learning strategies in undergraduates
low - voltage low - power cmos full adder - circuits , devices and systems , iee proceedings - .
The comprehension problems for second-language learners with poor reading comprehension despite adequate decoding: A meta-analysis