Table 1.
Embedding matrix for a review (N = 6).
Fig 1.
Our feed-forward neural network model.
Table 2.
(Weighted) average review vectors.
Table 3.
2D embedding tensor for an IMDB review with 10 tokens.
Fig 2.
CNN sentence classification.
Fig 3.
Ensemble of learning algorithms.
Table 4.
Values of hyper-parameters.
Table 5.
McNemar’s test results of the methods.
Table 6.
Accuracies of methods before ensemble for IMDB dataset.
Table 7.
Accuracies of methods after ensemble for IMDB dataset.
Table 8.
Accuracies of methods (Ensemble-2) for semeval restaurant dataset.
Table 9.
Accuracies for Yelp restaurant dataset with 100.000 reviews.