Real-time emotion classification of Tweets

作者: Olivier Janssens , Maarten Slembrouck , Steven Verstockt , Sofie Van Hoecke , Rik Van de Walle

DOI: 10.1145/2492517.2492577

关键词:

摘要: Despite adding emotions to applications has proven enhance the user experience, emotion recognition are still not widely available nor used. Within this paper, is done on Twitter tweets using six classification algorithms that compared precision and timing. The paper shows can be enhanced by 5.02% current state-of-the-art improving features. Furthermore, presented work in real-time.

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