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This 2dCNNmsda model is a two-dimensional Convolutional Neural Network (2D-CNN) architecture trained from scratch on the Sentiment Analysis for Social Media Posts in Arabic Dialect (MSDA) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size.
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It achieves the following results on the evaluation test set:
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- Accuracy: 0.
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## BibTeX Citation:
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```bash
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This 2dCNNmsda model is a two-dimensional Convolutional Neural Network (2D-CNN) architecture trained from scratch on the Sentiment Analysis for Social Media Posts in Arabic Dialect (MSDA) dataset with three window sizes of 3, 4, and 5, and 100 filters for each window size.
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It achieves the following results on the evaluation test set:
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- Accuracy: 0.7698
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## BibTeX Citation:
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```bash
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