EMA at SemEval-2018 Task 1: Emotion Mining for Arabic

Author:

Badaro Gilbert,El Jundi Obeida,Khaddaj Alaa,Maarouf Alaa,Kain Raslan,Hajj Hazem,El-Hajj Wassim

Publisher

Association for Computational Linguistics

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards a robust deep learning framework for Arabic sentiment analysis;Natural Language Processing;2024-09-06

2. Arabic Multiclass Emotional Analysis Using a Bidirectional GRU-LSTM Deep Model on Twitter;2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET);2024-05-16

3. Evaluating Arabic Emotion Recognition Task Using ChatGPT Models: A Comparative Analysis between Emotional Stimuli Prompt, Fine-Tuning, and In-Context Learning;Journal of Theoretical and Applied Electronic Commerce Research;2024-05-14

4. Arabic Emotion Recognition in Low-Resource Settings: A Novel Diverse Model Stacking Ensemble with Self-Training;Applied Sciences;2023-11-28

5. An Enhanced Transformer-Based Approach with Meta-Ensemble Learning for Arabic Sentiment Analysis;2023 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2023-09-27

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