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Found 5 papers, 1 papers with code
Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling
The novelty and global scale of the COVID-19 pandemic has lead to rapid societal changes in a short span of time.
Residualized Factor Adaptation for Community Social Media Prediction Tasks
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, education rates, race) of the community from which the language originates.
Predicting Human Trustfulness from Facebook Language
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 cooperate with others such as clinicians.
Using Twitter Language to Predict the Real Estate Market
We explore whether social media can provide a window into community real estate -foreclosure rates and price changes- beyond that of traditional economic and demographic variables.
Cascading Randomized Weighted Majority: A New Online Ensemble Learning Algorithm
With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning algorithm.
