The presented poster shows an application of opinion mining algorithms to identify emotional climate accompanying social events. Researchers have analyzed positive and negative sentiment in comments on Polish Twitter from year the 2012. The aim of the analysis is to identify positive and negative “buzz” related to the most important events in Poland during mentioned period. Intensity of positive and negative sentiment has been analyzed in time and in relation to users. Researchers try to answer the questions: what were the happiest and saddest moments during past year in Poland, what were the moods on weekdays and weekends, what is the relation between seasons of the year and sentiment in tweets and what is the general attitude toward reality of Twitter users.

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