---
title: "Who cites iLab-Edinburgh at SemEval-2016 — 8 citing papers"
description: "8 papers of the Elamur Research library cite «iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment…"
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---
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# Who cites «iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases»](https://md.research.elamur.ai/free/en/papers/refaee-2016-ilab-edinburgh-semeval-2016-task/)

1. [**A review of sentiment analysis research in Arabic language arXiv:2005.12240**Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli*2020 · 241 citations*](https://md.research.elamur.ai/free/en/papers/oueslati-2020-review-sentiment-analysis-research-arabic/)
2. **[SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases](https://md.research.elamur.ai/free/en/papers/kiritchenko-2016-semeval-2016-task-7-determining/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh*2016 · 135 citations*
3. **[Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English Tweets](https://md.research.elamur.ai/free/en/papers/meisheri-2017-textmining-emoint-2017-deep-learning/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Hardik Meisheri, Rupsa Saha, Priyanka Sinha, et al.*2017 · 5 citations*
4. **[SentiArabic: A Sentiment Analyzer for Standard Arabic](https://md.research.elamur.ai/free/en/papers/eskander-2018-sentiarabic-sentiment-analyzer-standard-arabic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ramy Eskander*2018 · 4 citations*
5. **[Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study)](https://md.research.elamur.ai/free/en/papers/barhoumi-2018-des-representations-continues-de-mots/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Amira Barhoumi, Nathalie Camelin, Yannick Estève*2018 · 2 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/refaee-2016-ilab-edinburgh-semeval-2016-task/) — iLab-Edinburgh at SemEval-2016 Task 7: A Hybrid Approach for Determining Sentiment Intensity of Arabic Twitter Phrases