2022/05/18 by Nsrin Ashraf, Ashraf, Nsrin, Fathy Elkazaz +7
Computer Science · #Sentiment Analysis and Opinion Mining #Advanced Text Analysis Techniques #Natural Language Processing Techniques
paper · pdf · doi:10.48550/arxiv.2205.08868
This paper describes the systems submitted to iSarcasm shared task. The aim of iSarcasm is to identify the sarcastic contents in Arabic and English text. Our team participated in iSarcasm for the Arabic language. A multi-Layer machine learning based model has been submitted for Arabic sarcasm detection. In this model, a vector space TF-IDF has been used as for feature representation. The submitted system is simple and does not need any external resources. The test results show encouraging results.