Research on Discrete Emotion Classification of Chinese Online Product Reviews Based on OCC Model
Lina Liu, Jiayin Qi · 2018
There are many rich and multi-dimensional discrete emotional information in online reviews. The research of discrete emotion analysis in English online reviews is relatively early and has made some achievements, but the related research on Chinese online reviews, especially in consumption field is still in its infancy, which is the focus of this study. By taking the product reviews of a large Chinese e-commerce platform as the research object, and using the OCC model which is a kind of emotional cognition model as the basis of emotion classification, the study constructs six datasets annotated with six discrete emotions including satisfaction, disappointment, admiration, reproach, like and hate. CHI-based feature selection is performed for each review sample of the above six datasets and five traditional classifiers are used to classify the discrete emotions. The experimental result demonstrates the effectiveness of our proposed approach and shows that the classifier based on LR algorithm has the best classification effect for each discrete emotion.