April 28th, 2020 
Daniela Lopez de Luise MuSe 2020 – The Multimodal Sentiment in Real-life Media Challenge
Multimodal Emotion Recognition – Topic Engagement Classification – Trustworthiness Quantification
ACM MM 2020, October 12 – Seattle, United States
ACM MM 2020, October 12 – Seattle, United States
The Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop (MuSe) focuses on Multimodal Sentiment Recognition, Emotion- Target Engagement, and Trustworthiness of User-generated Content. It will be the first competition aimed at comparison of multimedia processing and deep learning methods for automatic audiovisual, and textual based sentiment and emotion sensing, under a common experimental condition set.
The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the Affective Computing, and Sentiment Analysis communities, to compare the merits of multimodal fusion for the three core modalities under well-defined conditions. Another motivation is the need to advance sentiment and emotion recognition systems to be able to deal with fully, previously unexplored naturalistic behaviour in large volumes of in-the-wild data, as this is exactly the type of data that both multimedia and human-machine/ human-robot communication interfaces have to face in the real world.
Challenge opening
20 April 2020
20 April 2020
Paper submission
29 July 2020
29 July 2020
On behalf of the organizers,
Call-for-Participation_MuSe2020.pdf
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