| 中文句子评价对象抽取的特征分析研究 |
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| 引用本文： | 郑敏洁,雷志城,廖祥文,陈国龙.中文句子评价对象抽取的特征分析研究[J].福州大学学报(自然科学版),2012,40(5):584-590. |
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| 作者姓名： | 郑敏洁 雷志城 廖祥文 陈国龙 |
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| 作者单位： | 福州大学物理与信息工程学院;福州大学数学与计算机科学学院 |
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| 基金项目： | 福建省自然科学基金资助项目(2010J05133);福建省科技创新平台计划资助项目(2009J1007);福州大学科技发展基金资助项目(2010-XQ-22) |
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| 摘 要： | 针对中文的语料,采用基于条件随机场的方法,在词、词性特征的基础上结合最近名词、句法依赖关系和句子倾向性等特征,分析不同特征对于评价对象抽取的影响.实验结果表明,结合了词、句子倾向性、词性、语法依赖关系、邻近名词等特征的条件随机场方法对于中文句子评价对象的抽取更有效.
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| 关 键 词： | 中文句子 评价对象 条件随机场 语法依赖关系 倾向性 |
Analysis of features used in extracting sentiment-objects from Chinese sentences |
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| ZHENG Min-jie,LEI Zhi-cheng,LIAO Xiang-wen,CHEN Guo-long.Analysis of features used in extracting sentiment-objects from Chinese sentences[J].Journal of Fuzhou University(Natural Science Edition),2012,40(5):584-590. |
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| Authors: | ZHENG Min-jie LEI Zhi-cheng LIAO Xiang-wen CHEN Guo-long |
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| Institution: | 1.College of Physics and Information Engineering,Fuzhou University,Fuzhou,Fujian 350108,China; 2.College of Mathematics and Computer Science,Fuzhou University,Fuzhou,Fujian 350108,China) |
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| Abstract: | In this paper we adopt CRFs and focus on analyzing the effectiveness of features used in extracting sentiment-objects from Chinese sentences such as token, part-of-speech (pos), sentiment of sentence, grammar dependence and so on. Results of experiment has shown that the features of token, pos, sentiment of sentence and grammar dependence and so on are effective when using conditional random fields to extract the sentiment-objects. |
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