🔗 Who cites «A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets»

5 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 «A Light Lexicon-based Mobile Application for Sentiment Mining of Arabic Tweets»

1. ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine TweetsarXiv:1906.01830Ramy Baly, Alaa Khaddaj, Hazem Hajj, et al.2019 · 61 citations
2. EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNetJoint Conference on Lexical and Computational Semantics (*SEM)Gilbert Badaro, Hussein Jundi, Hazem Hajj, et al.2018 · 43 citations
3. Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysisACM Transactions on Asian and Low-Resource Language Information ProcessingAli Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar2021 · 34 citations
4. OMAM at SemEval-2017 Task 4: Evaluation of English State-of-the-Art Sentiment Analysis Models for Arabic and a New Topic-based ModelInternational Workshop on Semantic Evaluation (SemEval)Ramy Baly, Gilbert Badaro, Ali Hamdi, et al.2017 · 33 citations
5. Sentiment analysis for Arabic language: A brief survey of approaches and techniquesarXiv:1809.02782Mo'ath Alrefai, Hossam Faris, Ibrahim Aljarah2018 · 24 citations

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