443 citations · 558 across the 17 of their papers we have counts for
5 papers · 1 filter
Learning Word Ratings for Empathy and Distress from Document-Level User Responses
João Sedoc, Sven Buechel, Yehonathan Nachmany +2
Despite the excellent performance of black box approaches to modeling sentiment and emotion, lexica (sets of informative words and associated weights) that characterize different e…
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran +3
Social media currently provide a window on our lives, making it possible to learn how people from different places, with different backgrounds, ages, and genders use language. In t…
Studying Cultural Differences in Emoji Usage across the East and the West
Sharath Chandra Guntuku, Mingyang Li, Louis Tay +1
Global acceptance of Emojis suggests a cross-cultural, normative use of Emojis. Meanwhile, nuances in Emoji use across cultures may also exist due to linguistic differences in expr…
What Twitter Profile and Posted Images Reveal About Depression and Anxiety
Sharath Chandra Guntuku, Daniel Preotiuc-Pietro, Johannes C. Eichstaedt +1
Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes…
Expert-Augmented Machine Learning
E. D. Gennatas, J. H. Friedman, L. H. Ungar +10
Machine Learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption by the level of t…