Abstract
In the monograph so far, we introduced computational sarcasm and presented past work related to sarcasm in linguistics and computational linguistics. In this chapter, we aim to understand the phenomenon of sarcasm through three studies. Before we take on the problems of sarcasm detection and generation, these studies help us understand the challenges of computational sarcasm. Each of these studies could also lead to detailed areas of research themselves.
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Notes
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We acknowledge the possibility that some of these annotators were not physically located within USA, despite IP, due to VPN or similar infrastructure. We also note that workers may not have had English as their first language.
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This description highlights that they have strong linguistic expertise.
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This means that the experiment in case of Indian annotators as training labels consisted of two runs, one for each annotator.
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This subset was selected randomly.
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In absence of past work, simple techniques have been considered as baselines in sentiment analysis (Tan et al. 2011; Pang and Lee 2005).
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Joshi, A., Bhattacharyya, P., Carman, M.J. (2018). Understanding the Phenomenon of Sarcasm. In: Investigations in Computational Sarcasm. Cognitive Systems Monographs, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-10-8396-9_2
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DOI: https://doi.org/10.1007/978-981-10-8396-9_2
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