MixedEmotions = Big Linked Data Platform for Emotional Analysis
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.
Take me directly to The MixedEmotion’s platform.
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.
You want more info? Download the handouts:
- Useful Links
- Tutorial
- Webinar Slides (First webinar from January 2017)
Take me to the MixedEmotion’s Platform.
Take me to the MixedEmotion’s Github Account and Docker Account and read our DIY – Emotion Extraction Platform Made Easy article.
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.
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.
