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An Attention Ensemble Approach for Efficient Text Classification of Indian Languages
Experimental results show that the proposed model outperforms various baseline machine learning and deep learning models in the given task, giving the best validation accuracy of 89. 57\% and f1-score of 0. 8875.
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