Automatic Sarcasm Detection: A Survey

@article{Joshi2016AutomaticSD,
  title={Automatic Sarcasm Detection: A Survey},
  author={Aditya Joshi and Pushpak Bhattacharyya and Mark James Carman},
  journal={ACM Comput. Surv.},
  year={2016},
  volume={50},
  pages={73:1-73:22}
}
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing text. Beginning with an approach that used speech-based features, automatic sarcasm detection has witnessed great interest from the sentiment analysis community. This article is a compilation of past work in automatic sarcasm detection. We observe three milestones in the research so far: semi-supervised pattern… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 75 CITATIONS

Analyzing Prosody with Legendre Polynomial Coefficients

VIEW 6 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Rudimentary Lexicon Based Method for Sarcasm Detection

VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2016
2019

CITATION STATISTICS

  • 6 Highly Influenced Citations

  • Averaged 21 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 23 REFERENCES

Italian irony detection in twiŠer: a €rst approach

Francesco Barbieri, Francesco Ronzano, Horacio Saggion
  • In Še First Italian Conference on Computational Linguistics CLiC-it 2014 & the Fourth International Workshop EVALITA
  • 2014
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

A multidimensional approach for detecting irony in Twitter

  • Language Resources and Evaluation
  • 2013
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL