---
title: "Who cites Arabizi Language Models for Sentiment Analysis"
description: "8 papers of the Elamur Research library cite «Arabizi Language Models for Sentiment Analysis», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Arabizi Language Models for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/) / cited by

# Who cites «Arabizi Language Models for Sentiment Analysis»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Arabizi Language Models for Sentiment Analysis»](https://md.research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/)

1. **[Introducing A large Tunisian Arabizi Dialectal Dataset for Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/fourati-2021-introducing-large-tunisian-arabizi-dialectal/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Chayma Fourati, Hatem Haddad, Abir Messaoudi, et al.*2021 · 14 citations*
2. **[Identifying Code-switching in Arabizi](https://md.research.elamur.ai/free/en/papers/shehadi-2022-identifying-code-switching-arabizi/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Safaa Shehadi, Shuly Wintner*2022 · 13 citations*
3. **[ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects](https://md.research.elamur.ai/free/en/papers/guellil-2021-one-one-model-one-algorithm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Imane Guellil, Faical Azouaou, Fodil Benali, et al.*2021 · 5 citations*
4. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2022 · 2 citations*

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/baert-2020-arabizi-language-models-sentiment-analysis/) — Arabizi Language Models for Sentiment Analysis