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Journal of E-Technology

Models of Irony detection in Natural Language Processing
Tharindu Ranasinghe, Hadeel Saadany, Alistair Plum, Salim Mandhari, Emad Mohamed, Constantin Orasan, Ruslan Mitkov
Research Group in Computational Linguistics & University of Wolverhampton, UK
Abstract: Using specific deep learning models, we have introduced irony detection in Arabic language with the help of the IDAT 2019 Shared Task. We have tested a few available models and understand how the document content cleaning and pre-processing work. In the trials we have conducted we found that a higher F1 score is achieved and the RGGL ranks in a top level. We finally found that the introduced system can able to get competitive results.
Keywords: Irony Detection, Deep Learning Models of Irony detection in Natural Language Processing
DOI:https://doi.org/10.6025/jet/2020/11/3/83-90
Full_Text   PDF 1.05 MB   Download:   194  times
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