A short review of the CYBEREMOTIONS FP7 EU Integrated Project (www.cyberemotions.eu) will be presented. Special emphasis will be put to the achieved results: in the ICT domain as well as from a theoretical point of view. Moreover the direct applications will be discussed together with plans for the future.

The Project was split into three different layers. The first one was responsible for empirical studies, data collection and algorithmic foundations; the second was focused on the theory of complex systems, data driven simulations, predictions of emotional response and network predictability. The third layer led to ICT outputs. It will be shown how various Workpackages contributed to synergetic gains in the Project.

Several data-driven models will be presented that demonstrate collective character of emotional phenomena in online communities. It will be shown that clusters of emotional posts develop according to a simple statistical law corresponding to preferential growth. The process can lead to emergence of mono-emotional threads when the emotional cluster reaches its critical size. Representatives of minor emotions interact much stronger as compared to emotions that are majority. Negative emotions can boost user activity in online discussions. In the course of time the emotional distribution is thermalized, i.e., corresponding entropy grows up..   

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16. Sentiment and activity analysis of Manchester United football forum.
17. Emotional clusters observed in Internet communities
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19. Entropy-growth-based model of emotionally charged online dialogues
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