98 citations · 255 across the 21 of their papers we have counts for
6 papers · 1 filter
Causal Explanation Analysis on Social Media
Youngseo Son, Nipun Bayas, H. Andrew Schwartz
Understanding causal explanations - reasons given for happenings in one's life - has been found to be an important psychological factor linked to physical and mental health. Causal…
Learning Emotion from 100 Observations: Unexpected Robustness of Deep Learning under Strong Data Limitations
Sven Buechel, João Sedoc, H. Andrew Schwartz +1
One of the major downsides of Deep Learning is its supposed need for vast amounts of training data. As such, these techniques appear ill-suited for NLP areas where annotated data i…
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone +3
Nowcasting based on social media text promises to provide unobtrusive and near real-time predictions of community-level outcomes. These outcomes are typically regarding people, but…
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn +2
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, ed…
Predicting Human Trustfulness from Facebook Language
Mohammadzaman Zamani, Anneke Buffone, H. Andrew Schwartz
Trustfulness -- one's general tendency to have confidence in unknown people or situations -- predicts many important real-world outcomes such as mental health and likelihood to coo…
Using Search Queries to Understand Health Information Needs in Africa
Rediet Abebe, Shawndra Hill, Jennifer Wortman Vaughan +2
The lack of comprehensive, high-quality health data in developing nations creates a roadblock for combating the impacts of disease. One key challenge is understanding the health in…