60 citations · 62 across the 6 of their papers we have counts for
4 papers · 1 filter
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMs
Minxue Niu, Mimansa Jaiswal, Emily Mower Provost
Training emotion recognition models has relied heavily on human annotated data, which present diversity, quality, and cost challenges. In this paper, we explore the potential of La…
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge
Mimansa Jaiswal, Emily Mower Provost
Privacy preservation is a crucial component of any real-world application. But, in applications relying on machine learning backends, privacy is challenging because models often ca…
"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses
Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
In the past few years, social media has risen as a platform where people express and share personal incidences about abuse, violence and mental health issues. There is a need to pi…
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection
Mimansa Jaiswal, Sairam Tabibu, Rajiv Bajpai
We propose a data-driven method for automatic deception detection in real-life trial data using visual and verbal cues. Using OpenFace with facial action unit recognition, we analy…