--- title: "Who cites Word Embeddings and — 22 citing papers" description: "22 papers of the Elamur Research library cite «Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification»…" canonical: "https://research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Word Embeddings and Convolutional Neural Network…](https://md.research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/) / cited by # Who cites «Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification» 22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 17 with a page here, the most cited first · [← back to «Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification»](https://md.research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/) 1. [**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/) 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. **[A Combined CNN and LSTM Model for Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/alayba-2018-combined-cnn-lstm-model-arabic/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Abdulaziz M. Alayba; Vasile Palade; Matthew England;, Rahat Iqbal*2018 · 217 citations* 4. **[Mazajak: An Online Arabic Sentiment Analyser](https://md.research.elamur.ai/free/en/papers/farha-2019-mazajak-online-arabic-sentiment-analyser/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Ibrahim Abu Farha, Walid Magdy*2019 · 197 citations* 5. **[hULMonA: The Universal Language Model in Arabic](https://md.research.elamur.ai/free/en/papers/eljundi-2019-hulmona-universal-language-model-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Obeida ElJundi, Wissam Antoun, Nour El Droubi, et al.*2019 · 89 citations* 6. **[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* 7. [**An open access NLP dataset for Arabic dialects : Data collection, labeling, and model construction arXiv:2102.11000**ElMehdi Boujou; Hamza Chataoui; Abdellah El Mekki; Saad Benjelloun; Ikram Chairi;, Ismail Berrada*2021 · 21 citations*](https://md.research.elamur.ai/free/en/papers/boujou-2021-open-access-nlp-dataset-arabic/) 8. **[Syntax-Ignorant N-gram Embeddings for Sentiment Analysis of Arabic Dialects](https://md.research.elamur.ai/free/en/papers/mulki-2019-syntax-ignorant-n-gram-embeddings/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Hala Mulki, Hatem Haddad, Mourad Gridach, et al.*2019 · 13 citations* 9. **[A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions](https://md.research.elamur.ai/free/en/papers/shi-2025-comprehensive-survey-contemporary-arabic-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiqiang Shi, Ruchit Agrawal*2025 · 9 citations* 10. **[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* 11. **[DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings](https://md.research.elamur.ai/free/en/papers/mageed-2021-dialex-benchmark-evaluating-multidialectal-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman, et al.*2021 · 3 citations* 12. [**Morphology-rich Alphasyllabary Embeddings**Amanuel Mersha, Stephen Wu*2020 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mersha-2020-morphology-rich-alphasyllabary-embeddings/) 13. **[Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)](https://md.research.elamur.ai/free/en/papers/barhoumi-2018-des-representations-continues-de-mots/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Yannick Estève*2018 · 2 citations* 14. [**Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance arXiv:2101.02906**Anwar Alnawas, Nursal ARICI*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alnawas-2021-effect-word-embedding-variable-parameters/) 15. **[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* 16. **[Interactive Learning Approach for Arabic Target-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/balla-2021-interactive-learning-approach-arabic-target/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Husamelddin Balla, Marisa Llorens Salvador, Sarah Jane Delany*2021* 17. **[Plongements lexicaux spécifiques à la langue arabe : application à l'analyse d'opinions (Arabic-specific embedddings : application in Sentiment Analysis)](https://md.research.elamur.ai/free/en/papers/barhoumi-2019-plongements-lexicaux-specifiques-la-langue/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Chafik Aloulou, et al.*2019* 5 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/dahou-2016-word-embeddings-convolutional-neural-network/) — Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification