Leveraging feature-level fusion representations and attentional bidirectional RNN-CNN deep models for Arabic affect analysis on Twitter

Author:

Elfaik Hanane,Nfaoui El Habib

Publisher

Elsevier BV

Subject

General Computer Science

Reference92 articles.

1. Lexicon based and multi-criteria decision making (MCDM) approach for detecting emotions from Arabic microblog text;Abd Al-Aziz,2015

2. A. Abdelali, K. Darwish, N. Durrani, and H. Mubarak, “Farasa: A fast and furious segmenter for arabic,” in Proceedings of the 2016 conference of the North American chapter of the association for computational linguistics: Demonstrations, 2016, pp. 11–16.

3. Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion;Abdi;Inf. Process. Manag,2019

4. Sedat: Sentiment and emotion detection in arabic text using cnn-lstm deep learning;Abdullah,2018

5. Teamuncc at semeval-2018 task 1: Emotion detection in english and arabic tweets using deep learning;Abdullah,2018

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