A Comprehensive Survey on Arabic Sarcasm Detection: Approaches, Challenges and Future Trends
نویسندگان
چکیده
On social media platforms, it is essential to express one’s thoughts, opinions, and reviews. One of the most widely used linguistic forms criticize or a person’s ideas with ridicule sarcasm, where written text has both intended unintended meanings. The sarcastic frequently reverses polarity sentiment. Therefore, detecting sarcasm in positive impact on sentiment analysis task ensures more accurate results. Although Arabic one languages for web content sharing, detection restricted yet still naive due several challenges, including morphological structure language, variety dialects, lack adequate data sources. Despite that, researchers started investigating this area by introducing first dataset experiment irony 2017. Thus, our review focuses studies published between 2017 2022 detection. We provide thorough literature Artificial Intelligence (AI) techniques benchmarks In addition, challenges are investigated, along future directions, focusing challenge publicly available datasets.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3247427