Sarcasm Detection for Marathi and the role of emoticons

Author:

Patil Pravin K.ORCID,Kolhe Satish R.ORCID

Publisher

Springer Nature Singapore

Reference31 articles.

1. Liu P, Chen W, Ou G, Wang T, Yang D, Lei K (2014) Sarcasm detection in social media based on imbalanced classification. In: Li F, Li G, Hwang Sw, Yao B, Zhang Z (eds) Web-age information management. WAIM 2014. Lecture Notes in Computer Science, vol 8485. Springer, Cham. https://doi.org/10.1007/978-3-319-08010-9_49

2. Barbieri F, Ronzano F, Saggion H (2014) Italian irony detection in twitter: a first approach. In: Basile RA (eds) The first italian conference on computational linguistics cLiC-it 2014 and the fourth international workshop EVALITA, Italy, pp 28-32

3. Ptacek T, Habernal I, Hong J (2014) Sarcasm detection on czech and english twitter. In: Oden JT,JH (eds) Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers, Dublin, Ireland, August 23–29, pp 213-223

4. Liebrecht C, Kunneman F, van den Bosch A (2013) The perfect solution for detecting sarcasm in tweets #not. In: Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis, Atlanta, Georgia. Association for Computational Linguistics, pp 29–37

5. Lunando E, Purwarianti A (2013) Indonesian social media sentiment analysis with sarcasm detection In: Proceedings of the international conference on advanced computer science and information systems (ICACSIS), Sanur Bali, Indonesia, pp 195–198

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