Study on Fake Review Detection by Classification Algorithm using Machine Learning Technique |
Author(s): |
| Miss. Harsha. N. Dawda , Bapurao Deshmukh College of Engineering, Sevagram, Wardha; Dr. S. W. Mohod, Bapurao Deshmukh College of Engineering, Sevagram, Wardha |
Keywords: |
| Amazon E-Commerce Dataset, Dataset Acquisition, Data Pre-Processing, Active Learning, Support Vector Machine, Perceptron Algorithm, Random Forest Algorithm |
Abstract |
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Internet got boosted in few last years, people use web services more than expected. As the Internet got expanded people started their business online like E-Commerce websites. In today’s modern era e-commerce has expanded broadly. Online Review has become an important factor for customers to buy products and judge how good the product is. However there are some users tend to give false reviews for the product, manufacturers and retailers are highly concerned with this customer feedback and review. This arise a serious concern that false reviewers devalue/value the products and the services. This is called Fake Review, where the users generate false review about the product for revenue gain/loss, hence fake review exist it is important to develop a technique to detect fake reviews. We have use active learning detection technique to detect the fake reviews. |
Other Details |
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Paper ID: IJSRDV6I110373 Published in: Volume : 6, Issue : 11 Publication Date: 01/11/2019 Page(s): 603-606 |
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