Online reviews play a critical role in shaping consumer decisions, yet the rapid growth of user-generated content has enabled the spread of fake or deceptive reviews. These fraudulent opinions can mislead customers, damage brand credibility, and distort online market trust. This paper reviews existing artificial intelligence (AI) and machine learning (ML) methods for detecting fake product feedback and proposes a scalable, Hadoop-based framework that integrates text mining, sentiment analysis, and ML classification. The proposed system aims to enhance detection accuracy and computational efficiency for large-scale datasets. This study contributes a unified approach that leverages AI and Big Data to safeguard digital marketplaces from deceptive information and restore consumer confidence.
Fake review detection, artificial intelligence, sentiment analysis, machine learning, big data, Hadoop, text mining, e-commerce, deep learning, online trust.
International Journal of Trend in Scientific Research and Development - IJTSRD having
online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International
Journal which provides rapid publication of your research articles and aims to promote
the theory and practice along with knowledge sharing between researchers, developers,
engineers, students, and practitioners working in and around the world in many areas
like Sciences, Technology, Innovation, Engineering, Agriculture, Management and
many more and it is recommended by all Universities, review articles and short communications
in all subjects. IJTSRD running an International Journal who are proving quality
publication of peer reviewed and refereed international journals from diverse fields
that emphasizes new research, development and their applications. IJTSRD provides
an online access to exchange your research work, technical notes & surveying results
among professionals throughout the world in e-journals. IJTSRD is a fastest growing
and dynamic professional organization. The aim of this organization is to provide
access not only to world class research resources, but through its professionals
aim to bring in a significant transformation in the real of open access journals
and online publishing.