| 产品意见挖掘研究进展 |
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| 引用本文： | 李光敏,张,磊,赵登科.产品意见挖掘研究进展[J].现代情报,2014,34(3):32-35. |
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| 作者姓名： | 李光敏 张 磊 赵登科 |
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| 作者单位： | 1. 湖北师范学院计算机科学技术学院, 湖北 黄石435000;2. 河南大学数据与知识工程研究所, 河南 开封475004;3. 郑州经贸职业学院计算机系, 河南 郑州450000 |
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| 基金项目： | 本文系湖北省教育厅青年科学技术研究项目“非结构化文本评论的情感分析模型构建研究”（项目编号：Q20132503）的研究成果之一. |
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| 摘 要： | 随着Web2.0技术和电子商务的飞速发展，越来越多的用户参与到互联网，分享产品的使用体验和表达喜恶的观点，如何从评论文本中分析挖掘出互联网用户对产品的意见观点是消费者和生产商所迫切需要解决的问题。本文首先分析产品意见挖掘的必要性，然后从产品特征识别、产品评论主客观分类、情感极性分类等方面介绍了国内外的研究进展及所采用的技术，最后指出产品意见挖掘面临的不足和今后的研究方向。
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| 关 键 词： | 意见挖掘 意见识别 特征识别 情感极性分类 |
Research Progress in Product Opinion Mining |
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| Authors: | Li Guangmin Zhang Lei Zhao Dengke |
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| Institution: | 1. College of Computer Science and Technology, Hubei Normal University, Huangshi 435000, China;2. Institute of Data and Knowledge Engineering, Henan University, Kaifeng 475004, China;3. Department of Computer, Zhengzhou Vocational College of Economics and Trade, Zhengzhou 450000, China |
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| Abstract: | With the rapid evolution of Web2.0 technology and electronic commerce, more and more customers participate in the Internet, share product experience and express likes or dislikes about product. Firstly, this paper presented the necessity of opinion mining on the growing social media and electronic commerce business. Then it introduced the research progress both at home and abroad of the opinion mining on product from the prospect of product feature- based identification, product review sub- jectlvity analysis and sentiment polarity classification. Finally, it summarized the challenge of opinion mining on product and re- search interests about it. |
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| Keywords: | opinion mining opinion identification feature identification polarity classification |
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