Elamur Research⌕
☰
home / authors / Aicha Zitouni

Aicha Zitouni

Aicha Zitouni has 4 papers in our library, in 2021–2023, most of them on Semitic languages, Morphology, Sentiment & emotion; often with Khaled Lounnas, Mohamed Lichouri, Besma Benaziz.

4 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 3 · 11 works · 30 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 15 times in our library · ⭐ Paper Stars ranking: #8553

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Sciences and Technology Houari BoumedieneAlgiers · Algeria2021–2024 · 5 papers

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksSociology and Political Science · 2 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 4 worksMorphology · 2 worksSentiment & emotion · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.TF-IDF · 1 work

 Works by year

2020s

20232 papers20212 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Preprocessing Solutions for Detection of Sarcasm and Sentiment for Arabic (2021 · 13 citations)
    This paper presents a system from CRSTDLA (Algiers) for the Ar-Sarcasm 2021 shared task, which covers two tasks on Arabic tweets: detecting sarcasm and classifying sentiment.
  2. Arabic Dialect Identification based on a Weighted Concatenation of TF-IDF Features (2021 · 8 citations)
    This paper presents the CRSTDLA team's entry to the NADI 2021 shared task. The task is to identify which of 21 Arab countries a tweet comes from, in two subtasks: tweets in Modern Standard Arabic (subtask 1.1) and tweets in dialectal Arabic (subtask 1.2). The authors build a classical pipeline. They clean the tweets…
  3. USTHB at NADI 2023 shared task: Exploring Preprocessing and Feature Engineering Strategies for Arabic Dialect Identification (2023 · 4 citations)
    The supplied text does not match the title. The title names a NADI 2023 dialect identification paper, but the extracted PDF is the same group's ArAIEval 2023 entry on Arabic disinformation detection in tweets. This summary covers the text actually provided.
  4. USTHB at ArAIEval'23 Shared Task: Disinformation Detection System based on Linguistic Feature Concatenation (2023 · 3 citations)
    The paper describes the USTHB team's entry to subtask 2 of the ArAIEval'23 shared task. The task is to find disinformation in Arabic tweets, both as a yes/no decision (2A) and as a fine-grained label (2B). The authors deliberately avoided transformers and built a modular classical pipeline with four optional phases:

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/aicha-zitouni/