Excerpt
Contents
1 Introduction
2 Linguistic theories of irony
2.1 Echoic mention theory
2.2 Pretense theory
2.3 Allusional pretense theory
2.4 Unified theory
2.5 Discussion
3 Automatic detection of irony
3.1 “Yeah Right”: Sarcasm Recognition for Spoken Dialogue Systems .
3.1.1 Material
3.1.2 Method
3.1.3 Results
3.1.4 Discussion
3.2 Lexical Influences on the Perception of Sarcasm
3.2.1 Material
3.2.2 Method
3.2.3 Results
3.2.4 Discussion
3.3 Using LSA to detect Irony
3.3.1 Material
3.3.2 Method
3.3.3 Results
3.3.4 Discussion
3.4 Clues for Detecting Irony in User-Generated Contents: Oh...!! It’s “so easy” ;-)
3.4.1 Material
3.4.2 Method
3.4.3 Results
3.4.4 Discussion
3.5 Detecting Ironic Intent in Creative Comparisons
3.5.1 Material
3.5.2 Method
3.5.3 Results
3.5.4 Discussion
3.6 Automatic Satire Detection: Are You Having a Laugh?
3.6.1 Material
3.6.2 Method
3.6.3 Results
3.6.4 Discussion
3.7 Semi-Supervised Recognition of Sarcastic Sentences in Twitter and Amazon
3.7.1 Material
3.7.2 Method
3.7.3 Results
3.7.4 Discussion
3.8 Summary
4 Future Work
References
- Quote paper
- Michael Fell (Author), 2010, Verbal Irony: Theories and Automatic Detection, Munich, GRIN Verlag, https://www.grin.com/document/184355
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