出版社：The Japanese Society for Artificial Intelligence
摘要：This paper proposes a method to classify the aspects of restaurant reviews with the pseudo corpus. Restaurant reviews include some types of aspects such as meals and hospitality, which are the target in this paper. Those two types of aspects are important to evaluate the restaurant from review reading. The opinions for each aspect are so useful for the people to know how the restaurant is. However, freely written reviews often do not organize opinions without the classification of the aspects. In the proposed method, the reviews are automatically classified into two types without any annotated review data. The proposed method applies the existing corpora as the pseudo corpus for the target aspects of restaurant reviews. Through the experiment, it was confirmed that the proposed method classified the aspects of restaurant reviews as 71% accuracy and 70% AUC for sentences and 86% accuracy and 93% AUC for reviews. Even though the proposed method did not learn the annotated restaurant reviews, it showed a certain level of effectiveness for the classification better than the chance level.
关键词：review analysis;pseudo corpus;context classficiation;food and eating activity
