Abstract
Humor is an aspect of human behavior considered essential for inter-personal communication. Despite this fact, research in human-computer interaction has almost completely neglected aspects concerned with the automatic recognition or generation of humor. In this paper, we investigate the problem of humor recognition, and bring empirical evidence that computational approaches can be successfully applied to this task. Through experiments performed on very large data sets, we show that automatic classification techniques can be effectively used to distinguish between humorous and non-humorous texts, with significant improvements observed over apriori known baselines.
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© 2005 Springer-Verlag Berlin Heidelberg
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Mihalcea, R., Strapparava, C. (2005). Laughter Abounds in the Mouths of Computers: Investigations in Automatic Humor Recognition. In: Maybury, M., Stock, O., Wahlster, W. (eds) Intelligent Technologies for Interactive Entertainment. INTETAIN 2005. Lecture Notes in Computer Science(), vol 3814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590323_9
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DOI: https://doi.org/10.1007/11590323_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30509-5
Online ISBN: 978-3-540-31651-0
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