Detecting Spam Review through Spammer’s Behavior Analysis

  • Naveed Hussain
    The Comsats University
  • Hamid Turab Mirza
    Department of Computer Science, COMSATS University Islamabad (Lahore Campus), Pakistan drturab[at]ciitlahore.edu.pk
  • Ibrar Hussain
    Department of Software Engineering, The University of Lahore, Lahore, Pakistan

Abstract

Online reviews about the purchase of a product or services provided have become the main source of user opinions. To gain profit or fame usually spam reviews are written to promote or demote some target products or services. This practice is known as review spamming. In the last few years, different methods have been suggested to solve the problem of review spamming but there is still a need to introduce new spam review detection method to improve accuracy results. In this work, researchers have studied six different spammer behavioral features and analyzed the proposed spam review detection method using weight method. An experimental evaluation was conducted on a benchmark dataset and achieved 84.5% accuracy.
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Hussain, N., Mirza, H. T., & Hussain, I. (2019). Detecting Spam Review through Spammer’s Behavior Analysis. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 8(2), 61–71. https://doi.org/10.14201/ADCAIJ2019826171

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Author Biographies

Naveed Hussain

,
The Comsats University
Department: Software EngineeringAssiatant Professor

Hamid Turab Mirza

,
Department of Computer Science, COMSATS University Islamabad (Lahore Campus), Pakistan
Computer Science DepartmentAssistant Professor

Ibrar Hussain

,
Department of Software Engineering, The University of Lahore, Lahore, Pakistan
Software EngineeringAssosiate Professor 
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