| 网络舆情语义倾向性的隶属度研究 |
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| 引用本文： | 黄微,许烨婧,韩瑞雪,王洁晶.网络舆情语义倾向性的隶属度研究[J].图书情报工作,2015,59(21):27-32. |
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| 作者姓名： | 黄微 许烨婧 韩瑞雪 王洁晶 |
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| 作者单位： | 吉林大学管理学院 长春 130022 |
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| 基金项目： | 本文系国家自然科学基金面上项目"大数据环境下多媒体网络舆情信息的语义识别与危机响应研究" (项目编号:71473101)研究成果之一。 |
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| 摘 要： | 目的/意义]研究网络舆情语义倾向性隶属度,增强对网络舆情研判与引导的科学化程度,为相关部门提供决策参考。方法/过程]在探讨网络舆情语义识别的基础上,运用模糊数学方法对网络舆情信息语义倾向性隶属度进行相关研究,并结合具体实证展开分析。结果/结论]实验结果表明,本文所提出的算法能够深入挖掘网络舆情语义倾向性信息,更好地为相关管理者提供舆情危机预警服务,提高决策效率。
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| 关 键 词： | 网络舆情 语义识别 语义倾向性 隶属度 |
| 收稿时间： | 2015-09-17 |
Study onSemantic Orientation Membership of Network Public Opinion |
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| Huang Wei,Xu Yejing,Han Ruixue,Wang Jiejing.Study onSemantic Orientation Membership of Network Public Opinion[J].Library and Information Service,2015,59(21):27-32. |
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| Authors: | Huang Wei Xu Yejing Han Ruixue Wang Jiejing |
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| Institution: | School of Management, Jilin University, Changchun 130022 |
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| Abstract: | Purpose/significance]This paper studies the semantic orientation membership of network public opinion, so as to enhance the scientific level of network public opinion judged and guidance, and provide decision-making reference for the relevant departments. Method/process] On the basis of discussing semantic recognition of network public opinion, it studies the semantic tendentiousness membership of network public opinion with the fuzzy mathematics, and analyzes it with the specific case.Result/conclusion] The results show that the algorithm can deeply dig the semantic orientation information of network public opinion, to provide public opinion crisis warning service for the relevant managers and improve the decision-making efficiency. |
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| Keywords: | network public opinion semantic recognition semantic orientation membership |
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