From humor recognition to irony detection: The figurative language of social media

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• 作者：Antonio Reyes^a ; ^{areyes@dsic.upv.es}  ; [Author Vitae] ; Paolo Rosso^a ; ^{prosso@dsic.upv.es}  ; [Author Vitae] ; Davide Buscaldi^b ; ^{davide.buscaldi@irit.fr}  ; [Author Vitae]
• 关键词：Humor recognition ; Irony detection ; Natural language processing ; Web text analysis
• 刊名：Data and Knowledge Engineering
• 出版年：2012
• 期刊代码：44_0169023x
• 类别：cp
• 出版时间：April, 2012
• 卷：74
• 期：Complete
• 页码：1-12
• 文件大小：364 K

摘要

The research described in this paper is focused on analyzing two playful domains of language: humor and irony, in order to identify key values components for their automatic processing. In particular, we are focused on describing a model for recognizing these phenomena in social media, such as 鈥渢weets". Our experiments are centered on five data sets retrieved from Twitter taking advantage of user-generated tags, such as 鈥?humor" and 鈥?irony". The model, which is based on textual features, is assessed on two dimensions: representativeness and relevance. The results, apart from providing some valuable insights into the creative and figurative usages of language, are positive regarding humor, and encouraging regarding irony.