The MixedEmotions platform is a Big Data Toolbox for multilingual and multimodal emotion extraction and analysis. It can extract emotions from text, audio and video. However, it also has many other capabilities, such as sentiment analysis, social network analysis and knowledge graphs visualization among others.
The MixedEmotions platform is a Big Data Toolbox for multilingual and multimodal emotion analysis. In a series of three webinars the toolbox was introduced. Find here some material including a full video of the webinar.
The MixedEmotion platform is built around stand alone docker modules with an orchestrator that links the modules into analysis workflows utilising MESOS for scalable cloud deployment.
Core capabilities include emotion extraction from text, audio and video with many other capabilities, such as sentiment analysis, social network analysis, entity detection and linking and sophisticated data visualisation.
Today, emotion detection services based on speech technologies make its way to the market. Speech bears valuable information about speakers; and emotions of the speaker are one of them. Just try to imagine the potential power you can get, if you have a mining tool for emotions.
The Bachelor Thesis deals with research in the field of emotion recognition mainly from speech and marginally from other modalities (video and physiological data).
LDK is the new biennial conference series on Language, Data and Knowledge. The conference aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications.
Paul Buitelaar, coordinator the from MixedEmotions project will be present.
MixedEmotions – the Open Source platform* for emotion extraction
The MixedEmotions platform is a Big Data Toolbox for multilingual and multimodal emotion extraction and analysis (*be aware the plattform is in a beta stadium and still under development). It can extract emotions from text, audio and video. However, it also has many other capabilities, such as sentiment analysis, social network analysis and knowledge graphs visualization among others. Take me directly to the MixedEmotion’s Platform.
Gestures, mimics, and speech are the key ways to communicate and convey thoughts to others. However, the content of speech (e.g., words) only serves around seven percent of communications. The other parts of human communication include HOW we talk (38%) and how we move our body and perform facial mimics (55%) [1]. Read More