Semi-supervised recognition of sarcastic sentences in Twitter and Amazon

@inproceedings{Davidov2010SemisupervisedRO,
  title={Semi-supervised recognition of sarcastic sentences in Twitter and Amazon},
  author={Dmitry Davidov},
  booktitle={CoNLL 2010},
  year={2010}
}
Sarcasm is a form of speech act in which the speakers convey their message in an implicit way. The inherently ambiguous nature of sarcasm sometimes makes it hard even for humans to decide whether an utterance is sarcastic or not. Recognition of sarcasm can benefit many sentiment analysis NLP applications, such as review summarization, dialogue systems and review ranking systems. In this paper we experiment with semisupervised sarcasm identification on two very different data sets: a collection… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 26 references

Macmillan English Dictionary

Macmillan English Dictionary.
Macmillan Education, 2 edition. • 2007

Discourse and social-cultural factors in understanding non literal language

A. Katz.
Colston H. and Katz A., editors, Figurative language comprehension: Social and cultural influences, pages 183– 208. Lawrence Erlbaum Associates. • 2005
View 1 Excerpt