🔗 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»

1. A review of sentiment analysis research in Arabic languagearXiv:2005.12240Oumaima Oueslati; Erik Cambria; Moez Ben HajHmida;, Habib Ounelli2020 · 241 citations
2. SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic PhrasesInternational Workshop on Semantic Evaluation (SemEval)Svetlana Kiritchenko, Saif Mohammad, Mohammad Salameh2016 · 135 citations
3. Textmining at EmoInt-2017: A Deep Learning Approach to Sentiment Intensity Scoring of English TweetsWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisHardik Meisheri, Rupsa Saha, Priyanka Sinha, et al.2017 · 5 citations
4. SentiArabic: A Sentiment Analyzer for Standard ArabicLanguage Resources and Evaluation Conference (LREC)Ramy Eskander2018 · 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)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Amira Barhoumi, Nathalie Camelin, Yannick Estève2018 · 2 citations

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

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