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| 面向细粒度意见挖掘的情感本体树及自动构建 | |
| 引用本文： | 郭冲,王振宇.面向细粒度意见挖掘的情感本体树及自动构建[J].中文信息学报,2013,27(5):75-84. |
| 作者姓名： | 郭冲 王振宇 |
| 作者单位： | 1. 华南理工大学 计算机科学与工程学院,广东 广州 510006; 2. 华南理工大学 软件学院,广东 广州 510006 |
| 基金项目： | "核高基"国家科技重大专项资助项目，广东省教育部产学研合作专项资助项目 |
| 摘 要： | 该文定义了一种用于细粒度意见挖掘的情感本体树结构,并基于细粒度意见要素抽取技术提出本体树的自动构建方法。重点研究了评价搭配抽取算法、搭配倾向预测算法以及特征聚合算法,并在解决搭配倾向预测及特征聚合问题时引入了互联网资源的自然标注性。在COAE2011实验3评测数据集上的实验结果证明了该算法在评价搭配抽取、搭配倾向预测上都取得了很好的效果。 |
| 关 键 词： | 情感本体树 评价搭配 倾向性预测 特征聚合 |
Auto-construct of Sentiment Ontology Tree for Fine-grained Opinion Mining |
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| GUO Chong , WANG Zhenyu.Auto-construct of Sentiment Ontology Tree for Fine-grained Opinion Mining[J].Journal of Chinese Information Processing,2013,27(5):75-84. | |
| Authors: | GUO Chong WANG Zhenyu |
| Affiliation: | 1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510006, China; 2. School of Software, South China University of Technology, Guangzhou, Guangdong 510006, China |
| Abstract: | This paper defines the concept of sentiment ontology tree, which organizes the evaluation pair and hierarchy between product aspects in fine-grained opinion mining. And proposes an auto-construct method to build the sentiment ontology tree. We focus on the evaluation pair extraction, orientation predict of evaluation pair and aspect aggregation. Experimental results show that our algorithm is proper and efficient. Key wordssentiment ontology tree; evaluation pair; orientation predict; aspect aggregation |
| Keywords: | sentiment ontology tree evaluation pair orientation predict aspect aggregation |
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