Approaches for Computational Sarcasm Detection: A Survey
نویسندگان
چکیده
Sentiment Analysis deals not only with the positive and negative sentiment detection in the text but it also considers the prevalence and challenges of sarcasm in sentiment-bearing text. Automatic Sarcasm detection deals with the detection of sarcasm in text. In the recent years, work in sarcasm detection gains popularity and has wide applicability in sentiment analysis. This paper complies the various approaches that are developed to tackle the problem of sarcasm detection. In this paper, we describe Rule-based, Machine Learning and Deep Learning approaches for detecting sarcasm and also describes various datasets. We also give details of different features used by various sarcasm detection approaches from past upto the present.
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