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Basma Alharbi | Zuhair Khayyat | Hind Alamro | Manal Kalkatawi | Inji Ibrahim Jaber | Xiangliang Zhang | Manal Alshehri | Xiangliang Zhang | Basma Alharbi | Manal Kalkatawi | Zuhair Khayyat | Hind Alamro | M. Alshehri | I. Jaber
[1] Preslav Nakov,et al. SemEval-2017 Task 4: Sentiment Analysis in Twitter , 2017, *SEMEVAL.
[2] Ahmed Khoumsi,et al. Deep Multi-Task Model for Sarcasm Detection and Sentiment Analysis in Arabic Language , 2021, WANLP.
[3] K. P. Singh,et al. Analysis of Political Sentiment Orientations on Twitter , 2020 .
[4] Deniz Yuret,et al. KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media , 2020, SEMEVAL.
[5] Muhammad Abdul-Mageed,et al. ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic , 2020, ACL.
[6] Mark Lee,et al. Enhancing Contextualised Language Models with Static Character and Word Embeddings for Emotional Intensity and Sentiment Strength Detection in Arabic Tweets , 2021, ACLING.
[7] Mohamad Ivan Fanany,et al. Twitter Sentiment to Analyze Net Brand Reputation of Mobile Phone Providers , 2015 .
[8] Jyoti Ramteke,et al. Election result prediction using Twitter sentiment analysis , 2016, 2016 International Conference on Inventive Computation Technologies (ICICT).
[9] Walid Magdy,et al. From Arabic Sentiment Analysis to Sarcasm Detection: The ArSarcasm Dataset , 2020, OSACT.
[10] Mark Lee,et al. Combining Character and Word Embeddings for Affect in Arabic Informal Social Media Microblogs , 2020, NLDB.
[11] Xiangliang Zhang,et al. SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic , 2020, ArXiv.
[12] Indra Budi,et al. Twitter sentiment analysis of online transportation service providers , 2016, 2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS).
[13] Ibrahim Abu Farha,et al. Overview of the WANLP 2021 Shared Task on Sarcasm and Sentiment Detection in Arabic , 2021, WANLP.
[14] Wei Wang,et al. Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic , 2021 .
[15] Ismail Berrada,et al. CS-UM6P at SemEval-2021 Task 7: Deep Multi-Task Learning Model for Detecting and Rating Humor and Offense , 2021, SEMEVAL.
[16] Jennifer Foster,et al. Sentiment Analysis of Political Tweets: Towards an Accurate Classifier , 2013 .
[17] Kalpdrum Passi,et al. Sentiment Analysis on Twitter Data of World Cup Soccer Tournament Using Machine Learning , 2020, IoT.
[18] Abdelkader El Mahdaouy,et al. BERT-based Multi-Task Model for Country and Province Level MSA and Dialectal Arabic Identification , 2021, WANLP.
[19] Zhiyong Luo,et al. Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts , 2016, COLING.
[20] Hazem Hajj,et al. AraBERT: Transformer-based Model for Arabic Language Understanding , 2020, OSACT.
[21] Erik Cambria,et al. A review of sentiment analysis research in Arabic language , 2020, Future Gener. Comput. Syst..