Name
Abstract | ||
|---|---|---|
Satire is an element of figurative language which often conveys feelings contrary to what is literally stated. It refers to a trenchant wit, irony, or sarcasm used to expose discredit vice or folly. The presence of a satirical utterance in text can entirely change the sentiment of the statement, hence it is necessary to distinguish between true positive statements and satirical ones.In this paper, we identify key value components and features for automatic satire detection. Our experiments have been carried out on three data sets, namely, tweets, product reviews and newswire articles. We examine the impact of a number of state of the art features as well as new generalised textual features. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3022198.3026344 | CSCW Companion |
Field | DocType | Citations |
Sarcasm,Irony,Social media,Communication,Psychology,Utterance,Human–computer interaction,Product reviews,Linguistics,Feeling,Literal and figurative language,Positive statement | Conference | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aishwarya N. Reganti | 1 | 4 | 3.51 |
| Tushar Maheshwari | 2 | 4 | 3.51 |
| Amitava Das | 3 | 198 | 42.49 |
| Erik Cambria | 4 | 3873 | 183.70 |