--- title: "Anas Al-Abood — author profile and papers — Elamur Research" description: "Anas Al-Abood: 2 papers on Elamur Research (2020) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/anas-al-abood/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/anas-al-abood/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Anas Al-Abood # Anas Al-Abood Anas Al-Abood has 2 papers in our library, in 2020, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/); often with [Bushr Haddad](https://md.research.elamur.ai/free/en/authors/bushr-haddad/), [Nada Ghneim](https://md.research.elamur.ai/free/en/authors/nada-ghneim/), [Zoher Orabe](https://md.research.elamur.ai/free/en/authors/zoher-orabe/). 2 papers in our library · 2020 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/anas-al-abood/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/anas-al-abood/cited-by/) · [⭐ Paper Stars ranking: #9551](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9551) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Anas+Al-Abood) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Anas+Al-Abood) · [dblp](https://dblp.org/search?q=Anas+Al-Abood) · [ACL Anthology](https://aclanthology.org/search/?q=Anas+Al-Abood) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Semitic languages · 2 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2020** 2 papers](https://md.research.elamur.ai/free/en/authors/anas-al-abood/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Arabic Offensive Language Detection with Attention-based Deep Neural Networks](https://md.research.elamur.ai/free/en/papers/haddad-2020-arabic-offensive-language-detection-attention/)** *(2020 · 27 citations)* This paper is a system description for the OSACT4 shared task on Arabic tweets. The task has two binary subtasks: spotting offensive language (subtask A) and spotting hate speech (subtask B). The 10,000-tweet dataset is heavily skewed. About 19% of tweets are offensive and only 5% are hateful, and every hateful tweet… 2. **[DoTheMath at SemEval-2020 Task 12 : Deep Neural Networks with Self Attention for Arabic Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/orabe-2020-dothemath-semeval-2020-task-12/)** *(2020 · 6 citations)* The paper describes the DoTheMath team's entry for the Arabic track (Sub-Task A) of OffensEval at SemEval-2020. The task is to label Arabic tweets as offensive (OFF) or not (NOT OFF). The training data is heavily skewed, with only about one tweet in five offensive. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Bushr Haddad](https://md.research.elamur.ai/free/en/authors/bushr-haddad/) ×2 - [Nada Ghneim](https://md.research.elamur.ai/free/en/authors/nada-ghneim/) ×2 - [Zoher Orabe](https://md.research.elamur.ai/free/en/authors/zoher-orabe/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/): [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2020](https://md.research.elamur.ai/free/en/venues/osact/2020/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2020](https://md.research.elamur.ai/free/en/venues/semeval/2020/) ## Cited by Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/anas-al-abood/cited-by/). Updated 1 November 2026