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

Czech title:Sociální sémantická analýza emocí pro inovativní vícejazyčnou analýzu velkých dat
Reseach leader:Smrž Pavel
Team leaders:Zemčík Pavel
Team members:Černocký Jan, Dytrych Jaroslav, Matějka Jiří (FIT VUT), Nedeljković Sava (FIT VUT), Otrusina Lubomír, Prexta Dávid (FIT VUT), Rusiňák Petr (FIT VUT), Suchánek Jan (FIT VUT), Švaňa Miloš (FIT VUT), Zapletal Jakub (FIT VUT), Zárybnický Jakub (FIT VUT)
Agency:European Comission EU - Horizon 2020
Keywords:social semantics, multilingual multi-modal emotion analysis, knowledge graphs, Social TV, Brand Reputation Management, Call Centre Operations
Emotion analysis is central to tracking customer and user behaviour and satisfaction, which can be observed from user interaction in the form of explicit feedback through email, call center interaction, social media comments, etc., as well as implicit acknowledgement of approval or rejection through facial expressions, speech or other non-verbal feedback. In Europe specifically, but increasingly also globally, an added factor here is that user feedback can be in multiple languages, in text as well as in speech and audio-visual content. This implies different cultural backgrounds and thus different ways to produce and perceive emotions in everyday interactions, beyond the fact of having specific rules for encoding and decoding emotions in each language. 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, i.e. keeping track of entities involved as well the connections between them (who said what? to whom? in the context of which event, product, service?) In MixedEmotions we will implement an integrated Big Linked Data platform for emotion analysis across heterogeneous data sources, 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, exploiting also 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 The platform will be developed and evaluated in the context of three cross-domain Pilot Projects that are representative of a variety of data analytics markets: Social TV, Brand Reputation Management, Call Centre Operations. Each of the companies involved in the pilot projects have specific innovation objectives


2016Video emotion web service, software, 2016
Authors: Hradiš Michal, Kohút Jan
2015Blogs downloader for MixedEmotions project, software, 2015
Authors: Otrusina Lubomír, Smrž Pavel
 Corpora Processing Software, software, 2015
Authors: Doležal Jan, Dytrych Jaroslav, Karásek Miroslav, Kouřil Jan, Otrusina Lubomír, Smrž Pavel
 Semantic Enrichment Component, software, 2015
Authors: Doležal Jan, Dytrych Jaroslav, Kouřil Jan, Otrusina Lubomír, Smrž Pavel


2016DYTRYCH Jaroslav and SMRŽ Pavel. Interaction Patterns in Computer-assisted Semantic Annotation of Text - An Empirical Evaluation. In: Proceedings of the 8th International Conference on Agents and Artificial Intelligence. Setúbal: SciTePress - Science and Technology Publications, 2016, pp. 74-84. ISBN 978-989-758-172-4.
 OTRUSINA Lubomír and SMRŽ Pavel. WTF-LOD - A New Resource for Large-Scale NER Evaluation. In: Proceedings of the Tenth conference on International Language Resources and Evaluation (LREC'16). Portorož: European Language Resources Association, 2016, pp. 1-4. ISBN 978-2-9517408-9-1.
 POLOK Lukáš and SMRŽ Pavel. Increasing Double Precision Throughput on NVIDIA Maxwell GPUs. In: Proceedings of the 24th High Performance Computing Symposium. Pasadena / Los Angeles: Association for Computing Machinery, 2016, pp. 1-8. ISBN 978-1-5108-2318-1.
 POLOK Lukáš, ILA Viorela S. and SMRŽ Pavel. 3D Reconstruction Quality Analysis and Its Acceleration on GPU Clusters. In: Proceedings of European Signal Processing Conference 2016. Budapest: Institute of Electrical and Electronics Engineers, 2016, pp. 1-8. ISBN 978-0-9928626-6-4.
 POVOLNÝ Filip, MATĚJKA Pavel, HRADIŠ Michal, POPKOVÁ Anna, OTRUSINA Lubomír, SMRŽ Pavel, WOOD Ian, ROBIN Cecile and LAMEL Lori. Multimodal Emotion Recognition for AVEC 2016 Challenge. In: AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge. Amsterdam: Association for Computing Machinery, 2016, pp. 75-82. ISBN 978-1-4503-4516-3.

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