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Emotion recognition in text has become an important research objective. It involves building classifiers capable of detecting human emotions for a specific application, for example, analyzing reactions to product launches, monitoring emotions at sports events, or discerning opinions in political debates. Most successful approaches rely heavily on costly manual annotation. To alleviate this burden, we propose a distant supervision method-Dystemo-for automatically producing emotion classifiers
doi:10.1145/2912147
fatcat:pejvdir3pjee7d63d6dxinoq7u