--- title: "Who cites Sentiment Lexicons for Arabic — 14 citing papers" description: "14 papers of the Elamur Research library cite «Sentiment Lexicons for Arabic Social Media», found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sentiment Lexicons for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) / cited by # Who cites «Sentiment Lexicons for Arabic Social Media» 14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Sentiment Lexicons for Arabic Social Media»](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) 1. **[SemEval-2018 Task 1: Affect in Tweets](https://md.research.elamur.ai/free/en/papers/mohammad-2018-semeval-2018-task-1-affect/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, et al.*2018 · 1,094 citations* 2. **[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* 3. **[SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features](https://md.research.elamur.ai/free/en/papers/jabreel-2017-sitaka-semeval-2017-task-4/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mohammed Jabreel, Antonio Moreno*2017 · 36 citations* 4. **[Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic](https://md.research.elamur.ai/free/en/papers/belbachir-2023-foul-semeval-2023-task-12/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Faiza Belbachir*2023 · 8 citations* 5. [**Fake or Real? A Study of Arabic Satirical Fake News Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)**Hadeel Saadany, Constantin Orasan, Emad Mohamed*2020 · 7 citations*](https://md.research.elamur.ai/free/en/papers/saadany-2020-fake-or-real-study-arabic/) 6. **[ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects](https://md.research.elamur.ai/free/en/papers/guellil-2021-one-one-model-one-algorithm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Imane Guellil, Faical Azouaou, Fodil Benali, et al.*2021 · 5 citations* 7. **[Toward Qualitative Evaluation of Embeddings for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/barhoumi-2020-qualitative-evaluation-embeddings-arabic-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2020 · 5 citations* 8. **[ARB-SEN at SemEval-2018 Task1: A New Set of Features for Enhancing the Sentiment Intensity Prediction in Arabic Tweets](https://md.research.elamur.ai/free/en/papers/nagoudi-2018-arb-sen-semeval-2018-task1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**El Moatez Billah Nagoudi*2018 · 3 citations* 9. **[Love Me, Love Me Not: Human-Directed Sentiment Analysis in Arabic](https://md.research.elamur.ai/free/en/papers/israeli-2022-love-me-love-me-not/) [International Workshop on NLP Solutions for Under Resourced Languages co-located with ICNLSP - Short Papers](https://md.research.elamur.ai/free/en/venues/nsurl/)**Abraham Israeli, Aviv Naaman, Yotam Nahum, et al.*2022 · 1 citation* 10. **[CasbAI at AraSentEval 2026: Robust Dialectal Arabic Sentiment Classification via Multi-Seed Ensembling and Data Augmentation.](https://md.research.elamur.ai/free/en/papers/abdelaziz-2026-casbai-arasenteval-2026-robust-dialectal/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Chaima Abdelaziz, KahinaHouda Saadaoui, Faiza BELBACHIR, et al.*2026* 11. [**Multilevel sentiment analysis in arabic arXiv:2205.12328**Ahmed Nassar, Ebru Sezer*2022*](https://md.research.elamur.ai/free/en/papers/nassar-2022-multilevel-sentiment-analysis-arabic/) 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) — Sentiment Lexicons for Arabic Social Media