Paper: Co-Regression for Cross-Language Review Rating Prediction

ACL ID P13-2094
Title Co-Regression for Cross-Language Review Rating Prediction
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013

The task of review rating prediction can be well addressed by using regression algorithms if there is a reliable training set of reviews with human ratings. In this paper, we aim to investigate a more challenging task of cross- language review rating prediction, which makes use of only rated reviews in a source language (e.g. English) to predict the rating scores of unrated reviews in a target language (e.g. German). We propose a new co- regression algorithm to address this task by leveraging unlabeled reviews. Evaluation re- sults on several datasets show that our pro- posed co-regression algorithm can consistently improve the prediction results.