Publication

Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation

Publications associées (35)

Compassion and Engineering Students’ Moral Reasoning: The Emotional Experience of Engineering Ethics Cases

Background: There has been an increase in interest in emotion in engineering and science ethics education. There is also evidence that emotional content in case studies may improve students’ learning and enhance awareness, understanding, and motivation con ...

2023

United States politicians' tone became more negative with 2016 primary campaigns

Robert West, Andreas Oliver Spitz, Ahmad Abu-Akel

There is a widespread belief that the tone of political debate in the US has become more negative recently, in particular when Donald Trump entered politics. At the same time, there is disagreement as to whether Trump changed or merely continued previous t ...

NATURE PORTFOLIO2023

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Maëlan Quentin Menétrey, Gelareh Mohammadi

The Component Process Model is a well-established framework describing an emotion as a dynamic process with five highly interrelated components: cognitive appraisal, expression, motivation, physiology and feeling. Yet, few empirical studies have systematic ...

FRONTIERS MEDIA SA2022

Towards Empathetic Open-Domain Chatbots

Yubo Xie

The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...

EPFL2022

Emotion Recognition in a Multi-Componential Framework: The Role of Physiology

Gelareh Mohammadi

Emotions are rich and complex experiences involving various behavioral and physiological responses. While many empirical studies have focused on discrete and dimensional representations of emotions, these representations do not fully reconcile with recent ...

FRONTIERS MEDIA SA2022

Predicting emotional response to visual stimuli, a machine learning approach

We created an emotion predicting model capable of predicting emotions in images using OpenAI CLIP as a backbone. Using the ArtEmis dataset which contains 80K paintings annotated on the base of perceived emotions (amusement, fear, etc..). We show that this ...

2022

Towards Recognizing Emotion in the Latent Space

Rayan Elalamy

Emotion recognition is usually achieved by collecting features (physiological signals, events, facial expressions, etc.) to predict an emotional ground truth. This ground truth is arguably unreliable due to its subjective nature. In this paper, we introduc ...

IEEE2021

Multi-Modal Recurrent Attention Networks for Facial Expression Recognition

Seungryong Kim, Jiyoung Lee

Recent deep neural networks based methods have achieved state-of-the-art performance on various facial expression recognition tasks. Despite such progress, previous researches for facial expression recognition have mainly focused on analyzing color recordi ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Context-Aware Emotion Recognition Networks

Seungryong Kim, Jiyoung Lee

Traditional techniques for emotion recognition have focused on the facial expression analysis only, thus providing limited ability to encode context that comprehensively represents the emotional responses. We present deep networks for context-aware emotion ...

IEEE2019

Modeling the Impact of Modifiers on Emotional Statements

Pearl Pu Faltings, Valentina Sintsova, Margarita Bolívar Jiménez

Humans use a variety of modifiers to enrich communications with one another. While this is a deliberate subtlety in our language, the presence of modifiers can cause problems for emotion analysis by machines. Our research objective is to understand and com ...

SPRINGER NATURE SWITZERLAND AG2018

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