• Corpus ID: 218624003

A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques

@inproceedings{Lin2020ASI,
  title={A Study in Practical Solutions to Sarcasm Detection with Machine Learning and Knowledge Engineering Techniques},
  author={Chia Zheng Lin and M. Ptaszynski and Fumito Masui and Gniewosz Leliwa and Michal Wroczynski},
  booktitle={AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering},
  year={2020}
}
In this paper we tackle the problem of sarcasm detection with the use of machine learning and knowledge engineering techniques. Sarcasm detection is considered a complex and challenging task in Natural Language Processing and has been studied by various researchers in the past decade. To get a grasp on the present state of the art in sarcasm detection, we review the important previous research in this field, with a focus on text-based sarcasm detection in English texts. In the proposed method… 

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