---
title: "Zoher Orabe · University of Turku — author profile and papers"
description: "Zoher Orabe, University of Turku: 2 papers on Elamur Research (2020), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zoher-orabe/"
---
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# Zoher Orabe

Zoher Orabe 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 [Anas Al-Abood](https://md.research.elamur.ai/free/en/authors/anas-al-abood/), [Bushr Haddad](https://md.research.elamur.ai/free/en/authors/bushr-haddad/), [Nada Ghneim](https://md.research.elamur.ai/free/en/authors/nada-ghneim/).

2 papers in our library · 2020

[OpenAlex](https://openalex.org/A5010727946) · [ORCID](https://orcid.org/0009-0009-1322-682X) · [**h-index 3**](https://openalex.org/authors/A5010727946) · [8 works](https://openalex.org/works?filter=author.id:A5010727946) · [34 citations](https://openalex.org/works?filter=author.id:A5010727946&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zoher-orabe/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/zoher-orabe/cited-by/) · [⭐ Paper Stars ranking: #8366](https://md.research.elamur.ai/free/en/paper-stars/page/84/#star-8366)

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=Zoher+Orabe) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zoher+Orabe) · [dblp](https://dblp.org/search?q=Zoher+Orabe) · [ACL Anthology](https://aclanthology.org/search/?q=Zoher+Orabe)

## Affiliations

[🎓**University of Turku** Turku · Finland 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-turku/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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/zoher-orabe/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.

- [Anas Al-Abood](https://md.research.elamur.ai/free/en/authors/anas-al-abood/) ×2
- [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

## 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/zoher-orabe/cited-by/).

Updated 1 November 2026
