Fake Product Monitoring and Removal for Genuine Product Feedback

نویسندگان

چکیده

A customer’s decision to purchase a product or service are primarily influenced by online reviews. Customers use reviews, which valuable sources of information understand the public opinion on products and/or services. Dependability reviews can give rise potential concern that violator could deceitful in order synthetically promote decry and This practice is known as Opinion Spam, where spammers manipulate making fake, untruthful, deceptive get profit boost their products, devalue competitor’s products. In tackle this issue, we propose build fraud risk management system removal model. captures fraudulent transactions based user behaviors network, analyses them real-time using Data Mining, accurately predicts suspicious users transactions. system, two algorithms NLP TF-IDF differentiate between fake genuine feedback received customers.

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ژورنال

عنوان ژورنال: International journal of emerging science and engineering

سال: 2021

ISSN: ['2319-6378']

DOI: https://doi.org/10.35940/ijese.a2494.037121