网络产品评论细粒度意见挖掘研究综述 |
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引用本文: | 颜端武,江蕊,杨雄飞,鞠宁.网络产品评论细粒度意见挖掘研究综述[J].现代情报,2018,38(7):165-170. |
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作者姓名: | 颜端武 江蕊 杨雄飞 鞠宁 |
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作者单位: | 南京理工大学经济管理学院信息管理系, 江苏 南京 210094 |
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基金项目: | 江苏省研究生培养创新工程项目"面向危机预警的企业网络口碑监测分析研究"(项目编号:SJLX16_0122);江苏省社会科学基金项目"领域知识分析视角下文献知识关联揭示及应用研究"(项目编号:17TQB009);国家社会科学基金重大项目"面向知识创新服务的数据科学理论与方法研究"(项目编号:16ZDA224)。 |
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摘 要: | 目的/意义]针对网络产品评论细粒度意见挖掘的研究进展进行分析和总结,在明确其主要任务的基础上,探讨涉及的关键技术、研究成果以及未来发展趋势,为该领域研究未来的发展提供建议。方法/过程]本文主要采用文献综述的方法,对国内外相关研究进展进行分析和归纳,由粗粒度意见挖掘引申到细粒度意见挖掘,在明确细粒度意见挖掘主要任务的基础上,重点针对其关键技术和研究进展进行总结。结果/结论]本文明确了网络产品评论细粒度意见挖掘的主要任务,包括主客观句分类、评价要素抽取和情感极性计算,总结了各个任务涉及的关键技术。
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关 键 词: | 细粒度意见挖掘 主客观分类 评价要素抽取 情感计算 综述 |
A Review of Fine-grained Opinion Mining for Online Product Reviews |
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Authors: | Yan Duanwu Jiang Rui Yang Xiongfei Ju Ning |
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Institution: | Department of Information Management, School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract: | Purpose/Significance] This paper analyzed and summarized the research progress of fine-grained opinion mining for online product reviews.Based on clarifying the main tasks,this paper discussed the key technologies,research status and development trends of fine-grained opinion mining,so as to provide suggestions for future research in this field.Method/Process] This paper mainly adopted the method of literature review.It analyzed and discussed the relevant research work at home and abroad,extending from coarse-grained opinion mining to fine-grained opinion mining.On the basis of defining the main task of fine-grained opinion mining,this paper focused on its key technologies and current studies.Result/Conclusion] This paper defined the main tasks of fine-grained opinion mining for online product reviews,including subjective and objective sentence classification,evaluation elements extraction and emotional polarity calculation,and summarized the key technologies involved in each task. |
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Keywords: | fine-grained opinion mining subjective and objective classification evaluation elements extraction emotional calculation review |
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