A Novel User-based Spam Review Detection

Author:

Bajaj Simran,Garg Niharika,Singh Sandeep Kumar

Publisher

Elsevier BV

Subject

General Engineering

Reference11 articles.

1. Survey on Online Spam Review Detection Methods;Adhav;In: International Journal of Computer Science and Information Technologies,2014

2. Crawford M, Khoshgoftaar TM, Prusa JD, Richter AN, Najada HA. Survey of review spam detectionusing machine learning techniques. In: Journal of Big Data, 2015.

3. A New Approach for Identifying Manipulated Online Reviews using Decision Tree;Jadhav;In: International Journal of Computer Science and Information Technologies,2014

4. Online Review Manipulation Detection using Decision Tree and SVM;Jadhav;In: International Journal of Advanced Research in Computer Science and Software Engineering,2015

5. Review Spam Detection;Jindal;In: Proceedings of 16th International World Wide Web conference,2007

Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of fake reviews in social media with F score using novel support vector machine over random forest;AIP Conference Proceedings;2024

2. Research on False Comment Detection Model Based on the Fusion of Convolutional Neural Network and GRU;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20

3. Aspect-based classification method for review spam detection;Multimedia Tools and Applications;2023-08-05

4. Applying Deep Learning Methods on Spam Review Detection;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23

5. Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis;Applied Sciences;2022-04-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3