  We analyze emotionally annotated massive data from IRC (Internet Relay Chat)
and model the dialogues between its participants by assuming that the driving
force for the discussion is the entropy growth of emotional probability
distribution. This process is claimed to be correlated to the emergence of the
power-law distribution of the discussion lengths observed in the dialogues. We
perform numerical simulations based on the noticed phenomenon obtaining a good
agreement with the real data. Finally, we propose a method to artificially
prolong the duration of the discussion that relies on the entropy of emotional
probability distribution.
