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Faiza BELBACHIR

Faiza BELBACHIR has 2 papers in our library, in 2023–2026, most of them on Sentiment & emotion, Semitic languages, Language models & pretraining.

2 papers in our library · 2023–2026

OpenAlex · h-index 4 · 23 works · 55 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10139

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

🎓École Centrale d'ÉlectroniqueParis · France2023–2026 · 8 paperscurrent🔬Institut de Recherche en Informatique de ToulouseToulouse · France2013–2026 · 5 paperscurrent🎓Université de ToulouseToulouse · France2014–2026 · 2 paperscurrent🎓Institut Polytechnique des Sciences AvancéesIvry-sur-Seine · France2018–2023 · 2 papers🎓Université Toulouse III - Paul SabatierToulouse · France2013–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksSentiment & emotion · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic (2023 · 8 citations)
    This paper presents a system for three-way sentiment classification (positive, negative, neutral) of Algerian Arabic tweets, built for Task A of the AfriSenti shared task (SemEval-2023 Task 12).
  2. CasbAI at AraSentEval 2026: Robust Dialectal Arabic Sentiment Classification via Multi-Seed Ensembling and Data Augmentation. (2026)
    This paper describes the third-place system in Subtask 1 of AraSentEval 2026 (OSACT7). The task is three-way sentiment classification (positive, negative, neutral) of hotel reviews in Moroccan Darija, Saudi, Jordanian and Egyptian Arabic. The training data is very small: 1,731 labelled reviews and 312 hidden test…

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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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