Fake-Reviews-Detection-System-Using-Machine-Learning

Fake reviews detection refers to the process of identifying and flagging false or misleading reviews, typically in online settings such as e-commerce websites, social media, or review platforms

youtube link: https://youtu.be/pGN0xFWfVNQ?si=OFC9ZEXnRki9oS94

Abstract:

The proliferation of online reviews has led to an increase in fake reviews, threatening the trust and credibility of online platforms. This paper proposes a comprehensive approach to detect fake reviews, leveraging machine learning algorithms, natural language processing techniques, and behavioral analysis. Our method identifies fake reviews with high accuracy, providing a robust solution to maintain the integrity of online reviews. This research contributes to the development of reliable review systems, protecting consumers and promoting fair market competition

key words: Fake Reviews Detection, Review Analysis, Deceptive Opinion Detection, Online Review Spam Detection, Sentiment Analysis, Machine Learning, Natural Language Processing (NLP), Text Classification, Opinion Mining

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