Mixed Emotions - Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

Carlos Ángel Iglesias, J. Fernando Sánchez-Rada, Paul Buitelaar, Francesco Danza

2016

Abstract

MixedEmotions is a European R&D project that aims at developing innovative multilingual multimodal Big Data analytics applications that analyze a more complete emotional profile of user behavior using data from mixed input channels: multilingual text data sources, A/V signal input (multilingual speech, audio, video), social media (social network, comments), and structured data. Commercial applications (implemented as pilot projects) are in Social TV, Brand Reputation Management and Call Centre Operations. Making sense of accumulated user interaction from different data sources, modalities and languages is challenging and has not yet been explored in fullness in an industrial context. MixedEmotions implements an integrated Big Linked Data platform for emotion analysis across heterogeneous data sources, different languages and modalities, building on existing state of the art tools, services and approaches that will enable the tracking of emotional aspects of user interaction and feedback on an entity level.

Paper Citation

in Harvard Style

Iglesias C., Sánchez-Rada J., Buitelaar P. and Danza F. (2016). Mixed Emotions - Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets.In European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - Volume 1: EPS Rome 2016, ISBN 978-989-758-206-6, pages 116-123. DOI: 10.5220/0007904101160123

in Bibtex Style

@conference{eps rome 201616,
author={Carlos Ángel Iglesias and J. Fernando Sánchez-Rada and Paul Buitelaar and Francesco Danza},
title={Mixed Emotions - Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets},
booktitle={European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - Volume 1: EPS Rome 2016,},
year={2016},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007904101160123},
isbn={978-989-758-206-6},
}

in EndNote Style

TY - CONF

JO - European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - Volume 1: EPS Rome 2016,
TI - Mixed Emotions - Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets
SN - 978-989-758-206-6
AU - Iglesias C.
AU - Sánchez-Rada J.
AU - Buitelaar P.
AU - Danza F.
PY - 2016
SP - 116
EP - 123
DO - 10.5220/0007904101160123