Improving Review Representations with User Attention and Product Attention for Sentiment Classification
Table 4: Effect of the different weighted loss.
['[ITALIC] λ1', '[ITALIC] λ2', '[ITALIC] λ3', 'IMDB Acc.', 'IMDB RMSE', 'Yelp 2013 Acc.', 'Yelp 2013 RMSE', 'Yelp 2014 Acc.', 'Yelp 2014 RMSE']
The λ1, λ2, and λ3 respectively represent the weight of loss1, loss2 and loss3. We investigate the effect of different weighted loss by empirically adjusting their proportion. When λ2 is set to 0, we do not use loss2 to enhance the review representations. Similarly, we set λ3 to 0 to avoid the effect of loss3.