Chinese evaluation element extraction based on cascaded model

With the development of social media,massive reviews are generated by users every day.The extraction of evaluation elements,including evaluation phrase,comment target and opinion holder,is an important pre-task of Chinese opinion mining and sentiment analysis.This paper proposes an efficient method for extracting Chinese evaluation elements based on cascaded model and mainly makes three contributions:(i) to implement and evaluate the method,we construct an original annotated corpus for Chinese evaluation elements of automobile; (ii) we provide specific definition and classification of Chines evaluation phrase; (iii) combing statistic method and rule-based method,we present cascaded strategy for extraction of evaluation phrase and evaluation elements,respectively.According to the experiment results,the proposed method performs well,and effectively improve the recall compared with other rule-based algorithm.Meanwhile it contributes greatly to our subsequent tasks,such as sentiment analysis of social media.