228 citations · 562 across the 34 of their papers we have counts for
8 papers · 1 filter
MuSe-Toolbox: The Multimodal Sentiment Analysis Continuous Annotation Fusion and Discrete Class Transformation Toolbox
Lukas Stappen, Lea Schumann, Benjamin Sertolli +4
We introduce the MuSe-Toolbox - a Python-based open-source toolkit for creating a variety of continuous and discrete emotion gold standards. In a single framework, we unify a wide…
Graph Routing between Capsules
Yang Li, Wei Zhao, Erik Cambria +2
Routing methods in capsule networks often learn a hierarchical relationship for capsules in successive layers, but the intra-relation between capsules in the same layer is less stu…
MICE: A Crosslinguistic Emotion Corpus in Malay, Indonesian, Chinese and English
Ng Bee Chin, Yosephine Susanto, Erik Cambria
MICE is a corpus of emotion words in four languages which is currently working progress. There are two sections to this study, Part I: Emotion word corpus and Part II: Emotion word…
The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stress
Lukas Stappen, Alice Baird, Lukas Christ +6
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of sentiment and emotion, as well as physiological-emotion and emotion-based stress recognition throu…
Multitask Recalibrated Aggregation Network for Medical Code Prediction
Wei Sun, Shaoxiong Ji, Erik Cambria +1
Medical coding translates professionally written medical reports into standardized codes, which is an essential part of medical information systems and health insurance reimburseme…
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
Kia Dashtipour, Mandar Gogate, Erik Cambria +1
Most recent works on sentiment analysis have exploited the text modality. However, millions of hours of video recordings posted on social media platforms everyday hold vital unstru…