Journal of Cloud Computing

Advances, Systems and Applications

Table 6 Details of the datasets used in this study

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

	SenWave	AraCOVID19-SSD	ArCovidVac
Number of positive tweets	1562	1762	7968
Number of negative tweets	2750	955	638
Number of neutral tweets	4269	1831	1396
Number of emojis	2589	3714	4499
Number of words	122005	72736	230104
Number of characters	678915	493970	1632464
Average words per tweet	14	14	23

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