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Advances, Systems and Applications

Table 1 A review of related works

From: Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets

Reference

Model

Dataset

[9]

LSTM; CNN; BiLSTM; and (CLSTM)

Arabic Online Commentary

[10]

DNN

Sports and the Egyptian stock exchange

[5]

CNN and LSTM

ASTD and ArTwitter

[11]

CNN, LSTM, and BiLSTM

ASTD, Shami-Senti, and LABR

[12]

LSTM

twelve Arab nations in four regions

[13]

CNN

Algerian comments

[14]

LSTM

AraSenTi

[15]

LSTM, CNN, and Recurrent CNN

Arabic Twitter corpus

[4]

CNN, LSTM, and ensemble model

ASTD

[16]

Ensemble

Syria Tweets

[17]

Ensemble

SemEval 2018