Review Rating Predictiom with Gaussian Process Regression

Abstract

I propose Gaussian process regression with neural kernel function and apply it to review rating prediction. Neural network is applied to natural language processing and achieves high performance in various tasks. However, neural networks have less interpretability. On the other hand, a probabilistic model has more interpretability. Gaussian process regression is one of probabilistic models and it is important to select appropriate a kernel function. So I combine a recurrent neural network and Gaussian process regression and aim at achieving high performance and high interpretability. In evaluation experiments, the proposed method achieve lower RMSE and MAE.