Abstract
In the previous chapters, we described our studies to understand the phenomenon of sarcasm, followed by a set of approaches to detect sarcasm. In this chapter, we describe our efforts in a new problem in computational sarcasm: sarcasm generation. We define sarcasm generation as the computational task of generating sarcastic sentences, in response to an input sentence. In this chapter, we present a natural language generation system that synthesizes incongruity as seen in sarcastic statements. The work described in this chapter was presented at Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM) 2015 workshop held at SIGKDD 2015.
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The source code is at: https://github.com/adityajo/sarcasmbot.
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Linguistic Inquiry and Word Count: http://liwc.wpengine.com/.
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Joshi, A., Bhattacharyya, P., Carman, M.J. (2018). Sarcasm Generation. In: Investigations in Computational Sarcasm. Cognitive Systems Monographs, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-10-8396-9_5
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DOI: https://doi.org/10.1007/978-981-10-8396-9_5
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