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Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets

Fact Sheet

Reporting

Results

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.

Programme(s)

H2020-EU.2.1.1.4. - Content technologies and information management: ICT for digital content, cultural and creative industries

Topic(s)

ICT-15-2014 - Big data and Open Data Innovation and take-up

Call for proposal

H2020-ICT-2014-1

See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

NATIONAL UNIVERSITY OF IRELAND GALWAY

Address

University Road
H91 Galway

Ireland

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 557 775

Website

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Participants (9)

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UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 291 125

UNIVERSITAT PASSAU

Germany

EU Contribution

€ 343 687,50

EXPERT SYSTEM SPA

Italy

EU Contribution

€ 279 354

PARADIGMA DIGITAL SL

Spain

EU Contribution

€ 296 625

VYSOKE UCENI TECHNICKE V BRNE

Czechia

EU Contribution

€ 353 637,50

SINDICE LIMITED

Ireland

EU Contribution

€ 331 852,50

DEUTSCHE WELLE

Germany

EU Contribution

€ 341 035

PHONEXIA SRO

Czechia

EU Contribution

€ 241 818,50

MILLWARD BROWN CZECH REPUBLIC SRO

Czechia

Project information

MixedEmotions

Grant agreement ID: 644632

Project website

Start date

1 April 2015
End date

31 March 2017

Funded under:

H2020-EU.2.1.1.4.

Overall budget:

€ 3 529 617,14
EU contribution

€ 3 036 910

Coordinated by:

NATIONAL UNIVERSITY OF IRELAND GALWAY

Ireland

Periodic Reporting for period 2 - MixedEmotions (Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets)

Reporting period: 2016-04-01 to 2017-03-31

Summary of the context and overall objectives of the project

Effective automated emotion analysis enables a better understanding of user and customers’ behavior and needs, allowing businesses to adapt to real demand and usage, with great potential for real economic gains and improved user experience. Emotions can be detected and tracked through user interaction in a large variety of forms, such as explicit feedback through email, call center interaction, social media comments, etc., and can include implicit acknowledgment of approval or rejection through facial expressions, speech or other non-verbal feedback. The information can be found in speech, text, or audio-visual content.
One ambitious goal of MixedEmotions is to tackle these multiple “mixed” data source and modality challenges. Another ambition is to provide services in multiple languages, to open up to a wider audience. A third important challenge is to handle large amounts of data as is often required in customer service and user feedback industries. Different aspects and facets of the technologies developed in MixedEmotions will thus serve different targets and users of those technologies will be able to build a wide range of applications that serve diverse use cases, in diverse industries.
MixedEmotions produced an Integrated Big Linked Data Platform for Emotion Recognition, tackling all the challenges mentioned above, which are not currently fully addressed by the commercial solutions on the market. The MixedEmotions Platform is free, open source, and accessible online via http://mixedemotions.insight-centre.org/.
The MixedEmotions platform has been developed and evaluated in the context of three Pilot Projects that are representative of a variety of data analytics markets: Social TV, Brand Reputation Management, and Call Centre Operations. In each case, the relevant industry partner having reached their specific innovation objectives.

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

Basic Architecture of the MixedEmotions Platform

Project information

MixedEmotions

Grant agreement ID: 644632

Project website

Start date

1 April 2015
End date

31 March 2017

Funded under:

H2020-EU.2.1.1.4.

Overall budget:

€ 3 529 617,14
EU contribution

€ 3 036 910

Coordinated by:

NATIONAL UNIVERSITY OF IRELAND GALWAY

Project information

MixedEmotions

Grant agreement ID: 644632

Project website

Start date

1 April 2015
End date

31 March 2017

Funded under:

H2020-EU.2.1.1.4.

Overall budget:

€ 3 529 617,14
EU contribution

€ 3 036 910

Coordinated by:

NATIONAL UNIVERSITY OF IRELAND GALWAY

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Last update: 24 June 2019

Record number: 194226

CORDIS

Objective

Coordinator

Participants (9)

Project information

Periodic Reporting for period 2 - MixedEmotions (Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets)

Project information

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Publications

Project information

Project information

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CORDIS

Objective

Coordinator

Participants (9)

Project information

Periodic Reporting for period 2 - MixedEmotions (Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets)

Project information

Deliverables

Publications

Project information

Project information

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