--- title: "Who cites Sentiment after Translation: A — 45 citing papers" description: "45 papers of the Elamur Research library cite «Sentiment after Translation: A Case-Study on Arabic Social Media Posts», found in their…" canonical: "https://research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sentiment after Translation: A Case-Study on…](https://md.research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/) / cited by # Who cites «Sentiment after Translation: A Case-Study on Arabic Social Media Posts» 45 papers of our library cite it (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← back to «Sentiment after Translation: A Case-Study on Arabic Social Media Posts»](https://md.research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/) 1. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations* 2. **[XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations* 3. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/) 4. **[Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments](https://md.research.elamur.ai/free/en/papers/medhaffar-2017-sentiment-analysis-tunisian-dialects-linguistic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Salima Medhaffar, Fethi Bougares, Yannick Estève, et al.*2017 · 179 citations* 5. **[Sentiment Lexicons for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mohammad-2016-sentiment-lexicons-arabic-social-media/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Saif Mohammad, Mohammad Salameh, Svetlana Kiritchenko*2016 · 83 citations* 6. **[A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models](https://md.research.elamur.ai/free/en/papers/baly-2017-characterization-study-arabic-twitter-data/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ramy Baly, Gilbert Badaro, Georges El-Khoury, et al.*2017 · 67 citations* 7. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/) 8. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations* 9. **[Enabling Deep Learning of Emotion With First-Person Seed Expressions](https://md.research.elamur.ai/free/en/papers/alhuzali-2018-enabling-deep-learning-emotion-first/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Hassan Alhuzali, Muhammad Abdul-Mageed, Lyle Ungar*2018 · 41 citations* 10. [**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/) 11. **[AraNet: A Deep Learning Toolkit for Arabic Social Media](https://md.research.elamur.ai/free/en/papers/mageed-2020-aranet-deep-learning-toolkit-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Muhammad Abdul-Mageed, Chiyu Zhang, Azadeh Hashemi, et al.*2020 · 25 citations* 12. **[Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets](https://md.research.elamur.ai/free/en/papers/mulki-2017-tw-star-semeval-2017-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2017 · 25 citations* 13. **[Arabic Emoji Sentiment Lexicon (Arab-ESL): A Comparison between Arabic and European Emoji Sentiment Lexicons](https://md.research.elamur.ai/free/en/papers/hakami-2021-arabic-emoji-sentiment-lexicon-arab/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Shatha Ali A. Hakami, Robert Hendley, Phillip Smith*2021 · 18 citations* 14. **[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* 15. **[Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews](https://md.research.elamur.ai/free/en/papers/saadany-2020-is-it-great-or-terrible/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hadeel Saadany, Constantin Orasan*2020 · 11 citations* 16. **[A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT](https://md.research.elamur.ai/free/en/papers/saadany-2022-semi-supervised-approach-better-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hadeel Saadany, Constantin Orăsan, Emad Mohamed, et al.*2022 · 7 citations* 17. [**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/) 18. **[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* 19. **[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* 20. **[MAPROC at AHaSIS Shared Task: Few-Shot and Sentence Transformer for Sentiment Analysis of Arabic Hotel Reviews](https://md.research.elamur.ai/free/en/papers/zarnoufi-2025-maproc-ahasis-shared-task-few/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Randa Zarnoufi*2025* 25 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/salameh-2015-sentiment-after-translation-case-study/) — Sentiment after Translation: A Case-Study on Arabic Social Media Posts