---
title: "Who cites SMARTies: Sentiment Models for — 3 citing papers"
description: "3 papers of the Elamur Research library cite «SMARTies: Sentiment Models for Arabic Target entities», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [SMARTies: Sentiment Models for Arabic Target…](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) / cited by

# Who cites «SMARTies: Sentiment Models for Arabic Target entities»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «SMARTies: Sentiment Models for Arabic Target entities»](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/)

1. [**ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets arXiv:1906.01830**Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.*2019 · 61 citations*](https://md.research.elamur.ai/free/en/papers/baly-2019-arsentd-lev-multi-topic-corpus/)
2. **[Modern Trends in Arabic Sentiment Analysis: A Survey](https://md.research.elamur.ai/free/en/papers/mulki-2017-modern-trends-arabic-sentiment-analysis/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Hala Mulki, Hatem Haddad, Ismail Babaoğlu*2017 · 12 citations*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) — SMARTies: Sentiment Models for Arabic Target entities
