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Chapter


Title

Sarcastic RoBERTa: A RoBERTa-Based Deep Neural Network Detecting Sarcasm on Twitter

Authors

[ 1 ] Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ 2 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ S ] student | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • Text classification
  • Sarcasm detection
  • RoBERTa
  • iSarcasm
  • SARC
  • Knowledge transfer
Abstract

EN Sarcastic RoBERTa is an approach to recognizing sarcastic tweets written in English. It is based on a pre-trained RoBERTa model supported by a 3-layer feed-forward fully-connected neural network. It establishes a new state-of-the-art result on the iSarcasm dataset, attaining the F1 score of 0.526, and being not far from the human performance of 0.616.

Date of online publication

26.07.2022

Pages (from - to)

46 - 52

DOI

10.1007/978-3-031-12670-3_4

URL

https://link.springer.com/chapter/10.1007/978-3-031-12670-3_4

Book

Big Data Analytics and Knowledge Discovery : 24th International Conference, DaWaK 2022, Vienna, Austria, August 22–24, 2022, Proceedings

Presented on

24th International Conference on Big Data Analytics and Knowledge Discovery DaWaK 2022, 22-24.08.2022, Vienna, Austria

Ministry points / chapter

20.0

Ministry points / conference (CORE)

70.0

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