---
title: "Who cites Annotating Targets of Opinions in — 4 citing papers"
description: "4 papers of the Elamur Research library cite «Annotating Targets of Opinions in Arabic using Crowdsourcing», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/farra-2015-annotating-targets-opinions-arabic-crowdsourcing/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Annotating Targets of Opinions in Arabic using…](https://md.research.elamur.ai/free/en/papers/farra-2015-annotating-targets-opinions-arabic-crowdsourcing/) / cited by

# Who cites «Annotating Targets of Opinions in Arabic using Crowdsourcing»

4 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 «Annotating Targets of Opinions in Arabic using Crowdsourcing»](https://md.research.elamur.ai/free/en/papers/farra-2015-annotating-targets-opinions-arabic-crowdsourcing/)

1. **[SemEval-2017 Task 4: Sentiment Analysis in Twitter](https://md.research.elamur.ai/free/en/papers/rosenthal-2017-semeval-2017-task-4-sentiment/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sara Rosenthal, Noura Farra, Preslav Nakov*2017 · 1,163 citations*
2. **[SMARTies: Sentiment Models for Arabic Target entities](https://md.research.elamur.ai/free/en/papers/farra-2017-smarties-sentiment-models-arabic-target/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Noura Farra, Kathy McKeown*2017 · 15 citations*
3. **[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*
4. **[Quranic Audio Dataset: Crowdsourced and Labeled Recitation from Non-Arabic Speakers](https://md.research.elamur.ai/free/en/papers/salameh-2024-quranic-audio-dataset-crowdsourced-labeled/) [Procedia Computer Science](https://md.research.elamur.ai/free/en/venues/procedia-computer-science/)**Raghad Salameh, Mohamad Al Mdfaa, Nursultan Askarbekuly, et al.*2024 · 2 citations*
- [← back to](https://md.research.elamur.ai/free/en/papers/farra-2015-annotating-targets-opinions-arabic-crowdsourcing/) — Annotating Targets of Opinions in Arabic using Crowdsourcing