Research on Comment Target Recognition for Specific Domain Products
Hongxia Li · Zhongwen xinxi xuebao · 2010
The comment target recognition for the products is one of the important topics in text opinion information extraction and the sentiment analysis.For car product reviews,this paper proposes an unsupervised method to recognize comment targets without relying upon additional resources.In this method,we employ the fuzzy match technique for the word templates and part of speech templates and the pruning technique to extract candidate evaluated objects.Then the bidirectional Bootstrapping approach is used to recognize the comment targets from the candidate set.Lastly,the comment targets of the products are clustered by the K-means method to recognize the product name and the product attributes.The experimental results indicate that the F-value of the recognition of the comment targets and the product names can achieve 58.5% and 69.48% respectively.