🔗 Who cites «LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · ← back to «LSIS at SemEval-2016 Task 7: Using Web Search Engines for English and Arabic Unsupervised Sentiment Intensity Prediction»

1. 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
2. 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
3. Tewodros at SemEval-2025 Task 11: Multilingual Emotion Intensity Detection using Small Language ModelsInternational Workshop on Semantic Evaluation (SemEval)Mikiyas Eyasu, Wendmnew Sitot Abebaw, Nida Hafeez, et al.2025

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