标题：Matching reviews to database objects based on labeled latent dirichlet allocation model
作者：Zhu, Yumin ;Li, Qingzhong
作者机构：[Zhu, Yumin ] School of Computer Science and Technology, Shandong University, Jinan, China;[Li, Qingzhong ] Institute of Statistics, Shandong Universi 更多
会议名称：2013 10th Web Information System and Application Conference, WISA 2013
会议日期：1 November 2013 through 3 November 2013
来源：Proceedings - 2013 10th Web Information System and Application Conference, WISA 2013
关键词：data integration; Gibbs sampling; Latent Dirichlet Allocatio; review matching
摘要：We develop a method for matching unstructured reviews to database objects in data integration, where each object has a set of attributes. To this end, we propose a Labeled Latent Dirichlet Allocation model. We model reviews as if they were generated by a two-stage stochastic process. Each review is represented by a probability distribution over attributes, and each attribute is represented as a probability distribution over words for that attribute. We introduce the label for each attribute, and then the model integrates object information. We use an unsupervised manner to estimate the model parameters, and use this model to find, given a review, the most likely object to be the topic of the review. Experiments in multiple domains show that our method is superior to the TFIDF method as well as a recent RLM method for the review matching problem. © 2013 IEEE.