IJAIEM

International journal of application or innovation in engineering
and management
ISSN:2319-4847

Abstract

A CONTEXTUAL RELATIONSHIP MODEL FOR DECEPTIVE OPINION SPAM DETECTION

Kavya Gundoju, Gajabhimkar Dheeraj, Teddu Sanjay Kumar , T Bhargavi4

Abstract

The promotion of e-commerce platforms has changed the lifestyle of several people from traditional marketing to digital marketing where businesses are made online and the concurrence reached high levels. These platforms have helped the ease of purchases while providing more advantages to the customers such as benefiting from a wide range of high-quality products, low prices, buying at any time, and more importantly supplying information and reviews about the products, and so on. Unfortunately, a plethora of companies mislead the customers to buy their products or demote the competitors’ by using deceptive opinion spams which has a negative impact on the decision and the behavior of the purchasers. Deceptive opinion spams are written deliberately to seem legitimate and authentic so that to misguide or delude the customer’s purchases. Consequently, the detection of these opinions is a hard task due to their nature for both humans and machines. Most of the studies are based on trad

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UPDATES

  • call for paper:
    volume8
  • issue-1 october 2024
  • Submission date:
    22.10.2024

  • publishing date:28.10.2024

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