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Dihia Lanasri

Dihia Lanasri has 2 papers in our library, in 2023–2026, most of them on Semitic languages, Sentiment & emotion, Low-resource languages.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 3 · 16 works · 23 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 2 citations in our library · ⭐ Paper Star rank #6086

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 Algiers 3Algiers · Algeria2026 · 1 papercurrent🎓University of Algiers Benyoucef BenkheddaAlgiers · Algeria2026 · 1 papercurrent🎓École Nationale Supérieure d'InformatiqueAlgiers · Algeria2019–2025 · 9 papers

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

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 Artificial Intelligence · 2 works Computer Science · 2 works Social Sciences · 2 works Sociology and Political Science · 2 works Arts and Humanities · 1 work Language and Linguistics · 1 work

🧭 Topics 4 Semitic languages · 2 works Bias, fairness & safety · 1 work Sentiment & emotion · 1 work Low-resource languages · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Hate speech detection in algerian dialect using deep learning (2023 · 4 citations)
    The paper addresses automatic detection of hateful messages written in the Algerian dialect. This variety of Arabic has no fixed spelling or grammar and varies strongly between regions, and few NLP resources exist for it. The authors built a project pipeline covering collection, annotation, feature extraction…
  2. An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect (2026)
    The paper addresses automatic rumour detection for Algerian social media posts about telecommunications. The setting is hard for three reasons: Darja is informal and mixes languages, it appears in both Arabic script and Latin-based Arabizi, and almost no labelled data exists. The authors built an end-to-end pipeline…

 Cited by

Papers of our library cite their works 2 times (of the 141,840 papers whose bibliographies we read).

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