Sarcasm Detection on Twitter: A Behavioral Modeling Approach

  title={Sarcasm Detection on Twitter: A Behavioral Modeling Approach},
  author={Ashwin Rajadesingan and Reza Zafarani and Huan Liu},
Sarcasm is a nuanced form of language in which individuals state the opposite of what is implied. With this intentional ambiguity, sarcasm detection has always been a challenging task, even for humans. Current approaches to automatic sarcasm detection rely primarily on lexical and linguistic cues. This paper aims to address the difficult task of sarcasm detection on Twitter by leveraging behavioral traits intrinsic to users expressing sarcasm. We identify such traits using the user's past… CONTINUE READING
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The effects of cognitive complexity and communication apprehension on the expression and recognition of sarcasm

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  • Hauppauge, NY: Nova Science Publishers,
  • 2007
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