3 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao +1
This paper presents our system employed for the Social Media Mining for Health 2023 Shared Task 4: Binary classification of English Reddit posts self-reporting a social anxiety dis…
Exploring Hybrid and Ensemble Models for Multiclass Prediction of Mental Health Status on Social Media
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao +1
In recent years, there has been a surge of interest in research on automatic mental health detection (MHD) from social media data leveraging advances in natural language processing…
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao +1
In recent years, there has been increased interest in building predictive models that harness natural language processing and machine learning techniques to detect emotions from va…
Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features
Elma Kerz, Yu Qiao, Sourabh Zanwar +1
Research at the intersection of personality psychology, computer science, and linguistics has recently focused increasingly on modeling and predicting personality from language use…
Prediction of Listener Perception of Argumentative Speech in a Crowdsourced Dataset Using (Psycho-)Linguistic and Fluency Features
Yu Qiao, Sourabh Zanwar, Rishab Bhattacharyya +4
One of the key communicative competencies is the ability to maintain fluency in monologic speech and the ability to produce sophisticated language to argue a position convincingly.…