--- title: "Who cites AraSenTi: Large-Scale — 16 citing papers" description: "16 papers of the Elamur Research library cite «AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons», found in their…" canonical: "https://research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AraSenTi: Large-Scale Twitter-Specific Arabic…](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/) / cited by # Who cites «AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons» 16 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons»](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/) 1. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations* 2. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations* 3. **[Fine-Grained Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/salameh-2018-fine-grained-arabic-dialect-identification/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mohammad Salameh, Houda Bouamor, Nizar Habash*2018 · 192 citations* 4. **[An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training](https://md.research.elamur.ai/free/en/papers/kwaik-2020-arabic-tweets-sentiment-analysis-dataset/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, et al.*2020 · 38 citations* 5. **[OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based Model](https://md.research.elamur.ai/free/en/papers/baly-2017-omam-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.*2017 · 33 citations* 6. [**Sentiment Analysis of Arabic Tweets: Feature Engineering and A Hybrid Approach arXiv:1805.08533**Nora Al-Twairesh, Hend Al-Khalifa, AbdulMalik Alsalman, et al.*2018 · 30 citations*](https://md.research.elamur.ai/free/en/papers/al-twairesh-2018-sentiment-analysis-arabic-tweets-feature/) 7. **[Evaluating ChatGPT and Bard AI on Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/thubaity-2023-evaluating-chatgpt-bard-ai-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.*2023 · 27 citations* 8. **[SenZi: A Sentiment Analysis Lexicon for the Latinised Arabic (Arabizi)](https://md.research.elamur.ai/free/en/papers/tobaili-2019-senzi-sentiment-analysis-lexicon-latinised/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Taha Tobaili, Miriam Fernandez, Harith Alani, et al.*2019 · 14 citations* 9. **[Modern Trends in Arabic Sentiment Analysis: A Survey](https://md.research.elamur.ai/free/en/papers/mulki-2017-modern-trends-arabic-sentiment-analysis/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Hala Mulki, Hatem Haddad, Ismail Babaoğlu*2017 · 12 citations* 10. **[MICHAEL: Mining Character-level Patterns for Arabic Dialect Identification (MADAR Challenge)](https://md.research.elamur.ai/free/en/papers/ghoul-2019-michael-mining-character-level-patterns/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Dhaou Ghoul, Gaël Lejeune*2019 · 11 citations* 11. **[Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/hannani-2024-assessing-performance-chatgpt-4-fine/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven*2024 · 6 citations* 12. [**AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset arXiv:2110.01948**Mohamed Seghir Hadj Ameur, Hassina Aliane*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/ameur-2021-aracovid19-ssd-arabic-covid-19/) 13. **[AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss](https://md.research.elamur.ai/free/en/papers/daif-2020-aradic-arabic-document-classification-image/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mahmoud Daif, Shunsuke Kitada, Hitoshi Iyatomi*2020 · 4 citations* 14. **[Comparison between Voting Classifier and Deep Learning methods for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/dhaou-2020-comparison-between-voting-classifier-deep/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ghoul Dhaou, Gaël Lejeune*2020 · 4 citations* 2 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/twairesh-2016-arasenti-large-scale-twitter-specific/) — AraSenTi: Large-Scale Twitter-Specific Arabic Sentiment Lexicons