Before revision:  We use this biological formation as the inspiration for designing a neural network architecture that combines predictions of different models on the same text to construct a robust, accurate and computationally efficient classifier for sentiment analysis . Experimental resultson representative benchmark datasets and comparisons to other methods1show the advantages of the new network architecture .
After revision:  We use this biological formation as the inspiration for designing a neural network architecture that combines predictions of different models on the same text to construct robust, accurate and computationally efficient classifier for sentiment analysis . Experimental resultson representative benchmark datasets and comparisons to other methods1show the advantages of the new network architecture .