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工程科学与技术:2013,45(2):94-102
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基于双层HHMM的产品评论特征和情感分类
(四川大学 计算机学院)
Features and Opinions Classification of Chinese Product Reviews Based on Two-level HHMMs
(College of Computer Sci.,Sichua Univ.)
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投稿时间:2012-10-30    修订日期:2013-01-11
中文摘要: 近年来,中文产品评论的特征情感分类是Web数据挖掘的重要研究内容之一。提出了一套完整的产品命名实体、特征词、情感词以及边界的标注规则,设计了多层次的混合标签模式;提出了双层HHMM(层级隐马尔科夫模型)结构,将词形标注和词性标注的特点进行融合;提出了基于词形标注的HHMM-1算法和基于词性标注的HHMM-2算法,实现复杂短语的自动标注。实验证明,双层HHMM模型起到了互补的作用,模型的查全率和F-score值均有较大提高。
Abstract:In recent years, feature and opinion classification of Chinese product review is one of the most important research fields in Web data mining. A well-defined specification on data annotation for product named entities, features, opinions and boundaries was proposed and a hybrid tag representation was designed.By integrating linguistic features and POS features into automatic learning, a novel two-level Hierarchical HMMs (HHMMs ) framework was put forward. The HHMM-1 and HHMM-2 algorithms were advanced to identify features and opinion entities automatically. The experimental results showed that two-level HHMM works in a mutual complementation way, which makes the recall and F-score of our approach obviously outstanding.
文章编号:201200837     中图分类号:    文献标志码:
基金项目:四川省科技支撑计划资助项目(030405301054);四川大学青年教师科研启动基金资助项目(2011SCU11012)
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张磊,李梦诗,陈黎,黎红友,李志蜀,彭舰.基于双层HHMM的产品评论特征和情感分类[J].工程科学与技术,2013,45(2):94-102.
Zhang Lei,Li Mengshi,Chen Li,Li Hongyou,Li Zhishu,Peng Jian.Features and Opinions Classification of Chinese Product Reviews Based on Two-level HHMMs[J].Advanced Engineering Sciences,2013,45(2):94-102.