MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621054341 A) filed by Symbiosis International Deemed University on April 28, 2026, for System And Method For Detecting Fake Product Reviews Using Linguistic Analysis And Sentiment Scoring.
Inventors include Tejasvi Kolhe; Sahiti Chhanam; Krisha Kahate; and Nisha Gongal.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR DETECTING FAKE PRODUCT REVIEWS USING LINGUISTIC ANALYSIS AND SENTIMENT SCORING The present invention discloses a system (100) and method for detecting fake product reviews in e-commerce platforms using linguistic pattern analysis and sentiment scoring. The system (100) comprises a user interface module (110) for receiving review text and displaying results, a linguistic analysis engine (120) with a fake indicator detector (124) and genuine indicator detector (126) for identifying suspicious and authentic language patterns, a sentiment scoring module (130) for computing weighted authenticity scores, a classification module (140) for determining review authenticity with confidence levels, and a result presentation module (150) for displaying analysis results with identified indicators. The system (100) operates entirely within a client-side browser environment using JavaScript, enabling real-time analysis without server-side processing. The method involves detecting predefined linguistic indicators, computing normalized weighted scores, and classifying reviews with transparent explanations of identified suspicious or authentic elements. [
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