  In this paper, we conduct a sentence level sentiment analysis on the product
reviews from Amazon and thorough analysis on the model interpretability. For
the sentiment analysis task, we use the BiLSTM model with attention mechanism.
For the study of interpretability, we consider the attention weights
distribution of single sentence and the attention weights of main aspect terms.
The model has an accuracy of up to 0.96. And we find that the aspect terms have
the same or even more attention weights than the sentimental words in
sentences.
