Objective
MixedEmotions will develop innovative multilingual multi-modal Big Data analytics applications that will 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) will be 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. Commercial solutions exist but do not address the multilingual aspect in a robust and large-scale setting and do not scale up to huge data volumes that need to be processed, or the integration of emotion analysis observations across data sources and/or modalities on a meaningful level. MixedEmotions will implement 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. The MixedEmotions platform will provide an integrated solution for: large-scale emotion analysis and fusion on heterogeneous, multilingual, text, speech, video and social media data streams, leveraging open access and proprietary data sources, and exploiting social context by leveraging social network graphs; semantic-level emotion information aggregation and integration through robust extraction of social semantic knowledge graphs for emotion analysis along multidimensional clusters.
Field of science
- /natural sciences/computer and information sciences/data science/data analysis
- /humanities/arts/modern and contemporary art/film
- /natural sciences/computer and information sciences/data science/big data
- /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
- /humanities/languages and literature/linguistics/phonetics
- /social sciences/economics and business/business and management/commerce
Call for proposal
H2020-ICT-2014-1
See other projects for this call
Funding Scheme
IA - Innovation actionCoordinator
H91 Galway
Ireland
Participants (9)
28040 Madrid
94032 Passau
38068 Rovereto
28224 Pozuelo De Alarcon
601 90 Brno Stred
00000 Galway
53113 Bonn
612 00 Brno
Participation ended
11000 Prague
