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Authors: Carlos Ángel Iglesias 1 ; J. Fernando Sánchez-Rada 2 ; Paul Buitelaar 3 and Francesco Danza 4

Affiliations: 1 Universidad Politécnica de Madrid, Spain ; 2 Intelligent Systems Group, Universidad Politécnica de Madrid, ETSI Telecomunicación, Spain ; 3 National University of Ireland, Galway (NUIG), Insight Centre for Data Analytics, Ireland ; 4 Expert System, Italy

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 feedb ack on an entity level. (More)

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Paper citation in several formats:
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 - EPS Rome 2016, ISBN 978-989-758-206-6, pages 116-123. DOI: 10.5220/0007904101160123

@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 - EPS Rome 2016,},
year={2016},
pages={116-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007904101160123},
isbn={978-989-758-206-6},
}

TY - CONF

JO - European Project Space on Intelligent Technologies, Software engineering, Computer Vision, Graphics, Optics and Photonics - 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

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