JSAI2020

Presentation information

General Session

General Session » J-9 Natural language processing, information retrieval

[1E5-GS-9] Natural language processing, information retrieval: Estimate and analysis

Tue. Jun 9, 2020 5:20 PM - 6:40 PM Room E (jsai2020online-5)

座長:宮村祐一(有限責任監査法人トーマツ)

6:20 PM - 6:40 PM

[1E5-GS-9-04] Review Rating Predictiom with Gaussian Process Regression

〇Hidekazu Yanagimoto1 (1. Osaka Prefecture University)

Keywords:Gaussian process regression

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.

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