一个工具包,用于检测从潜在的掠夺性期刊虚假的呼吁论文的工具包.
Mehdi Dadkhah1,2, Abdul Majed Raja3, Aamir Raoof Memon4
1Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India.
Advanced pharmaceutical bulletin
|November 29, 2023
概括
掠夺性期刊在征集论文的邀请中使用了恭维的语言. 这项研究开发了一个词汇来检测这些欺骗性的电子邮件,帮助研究人员识别合法期刊.
科学领域:
- 信息科学 信息科学 信息科学
- 学术传播学术交流
- 文本挖掘 (Text Mining) 是一个很好的方法.
背景情况:
- 掠夺性期刊通过欺骗性的电子邮件剥削作者.
- 关于从掠夺性期刊检测垃圾邮件的研究有限.
- 这项研究解决了对未经请求的论文征集更好的检测方法的需求.
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