在线商品虚假评论关键问题研究综述 |
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引用本文: | 朱娟.在线商品虚假评论关键问题研究综述[J].现代情报,2017,37(5):166-171. |
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作者姓名: | 朱娟 |
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作者单位: | 1. 武汉大学信息管理学院, 湖北 武汉 430072;2. 九江学院信息学院, 江西 九江 332005 |
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基金项目: | 国家自然科学基金资助项目项目"社会化媒体集成检索与语义分析方法研究"(项目编号:71273194) |
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摘 要: | 目的/意义] 对在线虚假评论的现有研究进行梳理,分析研究现状,明确未来研究发展方向。方法/过程] 以CNKI和Web of Science文献为研究对象,从文献分析的视角,采用定性与定量分析相结合的方法,从虚假评论的识别方法、特征提取以及防治策略的角度,对国内外虚假评论研究的现状进行了分析,总结和概括了本领域研究的热点和存在的问题。结果/结论] 研究表明,在虚假评论的识别方法上,需加强对半监督和无监督学习的研究;在特征提取上,可考虑本体技术的应用;在防治策略上,要考虑多学科多领域的合作。
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关 键 词: | 在线商品 虚假评论 文献分析 机器学习 识别方法 防治策略 特征提取 综述 |
A Review of Key Issues in the Opinion Spams of Online Products |
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Authors: | Zhu Juan |
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Institution: | 1. School of Information Management, Wuhan University, Wuhan 430072, China;2. School of Information, Jiujiang University, Jiujiang 332005, China |
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Abstract: | Purpose/significance] The paper carded existing study about online product opinion spam, summarized research status, and put forward future research direction.Method/process] From the perspective of document analysis, using a combination of qualitative and quantitative methods to analyze the present status of research on opinion spams, summarized the key issues and problems in the field. Result/conclusion] This paper presented the existing problems and future direction of field from three aspects: recognition method, feature extraction and prevention strategy, which provided reference to the academic research more deeply. |
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Keywords: | online products opinion spam literature analysis machine learning recognition method prevention strategy feature extraction |
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