讽刺
短语
理解力
情感(语言学)
心理学
自然语言处理
计算机科学
文字和比喻语言
文字(数理逻辑)
人工智能
语言学
讽刺
认知心理学
沟通
程序设计语言
哲学
算法
作者
David Kovaz,Roger J. Kreuz,Monica A. Riordan
标识
DOI:10.1080/0163853x.2013.849525
摘要
Sarcasm production and comprehension have been traditionally described in terms of pragmatic factors. Lexical cues have received less attention, but they may be important potential indicators. A major obstacle to examining such features is determining sarcastic intent. One solution is to analyze statements explicitly marked as being sarcastic. This study examined Twitter postings marked with #sarcasm as well as dialog from Google Books containing the phrase "said sarcastically." We used word counting and part-of-speech tagging to compare specific lexical features of the explicitly-marked sarcastic statements to statements by the same author not marked as sarcastic. Our results broadly support the Lexical Cues Hypothesis—certain word-level cues, such as interjections and positive affect terms, are stereotypic of sarcasm. A model incorporating these features performed comparably to human raters in making sarcastic versus nonsarcastic judgments. This finding shows promise for future work toward automatically identifying sarcasm in text.
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