Fake Review Detection

The Fake Review Detection System: A Review SHIKHAR RAJ GUPTA, RESHU SINGH Computer Science and Engineering, Babu Banarasi Das Northern Indian Institute of Technology Lucknow, India ABSTRACT Fake Reviews: In the age of digital commerce, user-generated reviews significantly influence consumer decisions and business reputations. However, the growing prevalence of deceptive or fake reviews undermines the credibility of online platforms. This project proposes a Fake Review Detection System that leverages natural language processing (NLP) and machine learning techniques to identify and filter out fraudulent reviews. The system analyses textual patterns, reviewer behaviour, and metadata to distinguish between genuine and suspicious content. By training classification models on labelled datasets, it can detect subtle linguistic cues and behavioural anomalies associated with fake reviews. This solution aims to enhance user trust and support fair business practices by maintaining the integrity of online feedback.