| 文本情感分析在虚假评论识别中的应用研究 |
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| 引用本文： | 薛晨杰,王召义.文本情感分析在虚假评论识别中的应用研究[J].闽西职业技术学院学报,2021(1):33-37,93. |
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| 作者姓名： | 薛晨杰 王召义 |
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| 作者单位： | 安徽商贸职业技术学院 |
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| 基金项目： | 安徽省高校自然科学研究重点项目“电商在线评论情感指数分析与应用研究(课题编号:KJ2019A007)”;三平台两基地项目“电商在线虚假评论对用户购买行为影响研究(2020ZDF22)”;2020年度校级科学研究重点项目“在线虚假评论对企业口碑影响机理研究(2020KZR07)”;“基于Word2Vec+K-means的在线评论产品属性提取方法研究(课题编号:2020KZZ05)”。 |
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| 摘 要： | 随着各个在线平台用户生成内容的普及,在线评论对品牌方、消费者、平台的影响越来越大,针对在线评论文本情感分析的技术成为研究热点。与此同时,为提升自身信誉或诋毁竞争对手的虚假评论泛滥,对消费者的购买决策及产品的网络口碑带来不利影响。使用文献研究、案例分析等方法,以虚假评论识别方法研究为基础,探讨其文本情感特点,总结出当前多是通过情感极性的角度来识别虚假评论,并对未来有针对性地构建更合理完善的情感词典及对新媒体平台的虚假评论识别进行展望。
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| 关 键 词： | 在线评论 文本情感分析 虚假评论 识别方法 |
Research on the application of text sentiment analysis in false comment recognition |
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| XUE Chen-jie,WANG Zhao-yi.Research on the application of text sentiment analysis in false comment recognition[J].Journal of Minxi Vocational and Technival College,2021(1):33-37,93. |
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| Authors: | XUE Chen-jie WANG Zhao-yi |
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| Institution: | (Anhui Business College,Wuhu,Anhui,241002,China) |
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| Abstract: | With the popularity of user generated content in various online platforms, online reviews have more and more influence on brands, consumers and platforms. At the same time, in order to enhance their own reputation or slander competitors, the proliferation of false comments has a negative impact on consumers’ purchase decisions and online reputation of products. Using literature research, case analysis and other methods, based on the research of false comment recognition method, this paper discusses the emotional characteristics of the text, summarizes that most of the current false comments are identified from the perspective of emotional polarity, and looks forward to the construction of a more reasonable and perfect emotional dictionary and the identification of false comments on new media platforms in the future. |
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| Keywords: | online review text sentiment analysis false comment recognition method |
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