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  1. The MixedEmotions platform is a Big Data Toolbox for multilingual and multimodal emotion analysis. It is built around stand alone docker modules with an orchestrator that links the modules into analysis workflows utilising MESOS for scalable cloud deployment. ... such as sentiment analysis, social network analysis, entity detection and linking ...
  2. opus.bibliothek.uni-augsburg.de

    a unified solution for large-scale emotion analysis on heteroge-neous, multilingual, text, speech, video, and social media data streams, leveraging open access and proprietary data sources including modules for collection of social media data, and ex-ploiting social context by leveraging social network graphs. It
  3. In this paper, we present this toolbox in the context of the existing landscape, and provide a range of detailed benchmarks on standard test-beds showing its state-of-the-art performance. Furthermore, three real-world use cases show its effectiveness, namely, emotion-driven smart TV, call center monitoring, and brand reputation analysis.
  4. researchrepository.universityofgalway.ie

    emotion and sentiment recognition, (ii) for audio processing: emotion, age, and gender recognition, (iii) for video processing: face detection and tracking, emotion recognition, facial landmark localization, head pose estimation, face alignment, and body pose estimation, and (iv) for linked data: knowledge graph integration.
  5. academia.edu

    To embed the emotion analysis functionality into this use case, three approaches were considered: (i) acoustic-based valence recognition with multilingual and Czech models24 , (ii) analysis of the automatic transcription of the audio, based on the list of pre-defined positive and negative keywords and phrases, and (iii) sentiment recognition on ...
  6. mixedemotions-project.eu

    D4.1 Emotion Recognition from Multilingual audio Content, initial version Page 2 of 21 Project reference no. H2020 644632 Project working name MixedEmotions Project full name Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets Document name MixedEmotions_D4.1_31_12_15_Emotion
  7. ieeexplore.ieee.org

    Recently, there is an increasing tendency to embed functionalities for recognizing emotions from user-generated media content in automated systems such as call-centre operations, recommendations, and assistive technologies, providing richer and more informative user and content profiles. However, to date, adding these functionalities was a tedious, costly, and time-consuming effort, requiring ...
  8. aclanthology.org

    social context by leveraging social network graphs Semantic-level emotion information aggregation and integration through robust extraction of so-cial 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
  9. researchgate.net

    emotion recognition modules that can be used in isolation or in combination through predefined or configurable workflows. It provides a unified solution for large-scale emotion analysis

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